SlideShare uma empresa Scribd logo
1 de 12
Baixar para ler offline
1
Term Paper on Robot Cars
Instructor: Dr Prithwis Mukerjee
Raghava Kumar Lagudu(10BM60064)
raghavlrk@gmail.com
MBA 1st
year,2010-2012 batch
Vinod Gupta School of Management
IIT Kharagpur
--------------------------------------------------------------------------------------------------------------------------------------------
ABSTRACT
This paper gives an introduction about the advancements in science towards a robot driven car .An
introduction to collision avoidance system and an overview of the experimental studies of Google robot
car are also presented. This paper also presents various collision avoidance techniques in case of
adversities like bad weather ,bad roads etc.
INTRODUCTION
“This car’s is a pretty good driver” quoted by Mikaela from the movie Transformers pointing at the
empty drivers seat referring to an Autobot.
Soon automatically driven cars is going to be a reality. Robot cars are electronic controlled systems
functioning in a reflexive way that automatically adjusts itself to provide assistance to the driver or to
maneuver the vehicle all by itself. Robot cars are equipped with autopilot systems which can drive by
itself. There had been extensive experimentation on auto pilots cars since 1980s where Mercedes Benz
came up with a concept of Robot van. Since then there were many experiments conducted by various
automobile companies and some research laboratories .The primary aim of autopilot systems is to reduce
the automobile related deaths by using a computer as researchers feel that computers perform
consistently better than humans under testing conditions. This paper presents the evolution of driverless
cars from the conception of the idea to the latest Google robot cars. Collision avoidance is said to be one
of the driving factors for the design of robot cars. Collision avoidance is the process is preventing a
vehicle from colliding with any other vehicle or object. The collision avoidance is not an exclusive
concern for automobiles it can also be referred to Collision avoidance(Spacecraft),Collision
avoidance(aircraft).
2
What is a Robot car ?
--------------------------------------------------------------------------------------------------------------------------------------------
Robot cars are to the cars equipped with artificial intelligence software. This technology is required for
self driving cars and is already tested in some of the concept cars. There is an incremental path to get us
there .Computers are considered to be the most important part of the robot cars.
Evolution of Robot Cars:
--------------------------------------------------------------------------------------------------------------------------------------------
Computers are the most important components of a Robot car. The evolution started in 1977 in a
Japanese laboratory when the computers are much slower than they are today. The fact is that today’s
computers are more than 1000 times faster than they are in the 1970s.
Tsukuba Mechanical Engineering Lab in Japan is the first one to experiment with driverless cars in
1977.They came up with a car equipped with special hardware. The car thus developed could achieve a
speed of 30Km/Hr on a clearly marked course by tracking the white street markers laid through the
course.
Mercedes built the robot car in 1980 by converting the S class Mercedes. The car achieved a speed
exceeding 175Km/hr .This achievement by Mercedes with a team of professors has heavily influenced
robot car research and funding decisions worldwide.
The Defense Advanced Research in 1980 has funded for autonomous land vehicle has achieved the first
road demonstration.
The VaMP and Vita-2 of Daimler-Benz is the first step towards truly autonomous cars. They were able to
drive in human traffic with out long interventions using computer vision to recognize rapidly moving
obstacles. In 1994 with a safety driver and the guests onboard the twins drove for more than 1000 miles
in normal traffic on a highway at speed up to 130Km/hr.
An year later in 1995 the autonomous Mercedes Benz took a trip for more than 1600 kms using quick
process computer vision along with microprocessor to respond in real time. This car also drove up to 158
kms without any human intervention. In the same year Carnegie Mellon University designed a no hand
across semi automatic car which used neural networks to control the steering wheel but the brakes and
throttle are human controlled.
3
Key aspects of Robot Car:
--------------------------------------------------------------------------------------------------------------------------------------------
 Existing Infrastructure is sufficient to bring the Robot cars on to the road to share the space with
cars driven by people. But may be with the assistance of small non physical infrastructure like
networks and databases.
 Safety could be a major reason to take this dream to a reality as automated driving if can be
implemented to handle all intricacies of driving will be provide safe and regulated traffic. If the
automated driving has to be implemented then it has to have a safety record superior to human
driving and much more effective than alert drivers.
 Robot cars can be scaled to an extent of driving the car autonomously with out even the need for
monitoring by the occupants inside the car. The cars if given the destination will require the least
assistance and can navigate on its own.
 The concept of building a Robot car emphasizes focus on alternate fuels like electricity and could
pave way for electric cars to share the existing market of gasoline cars.
ALTERNATE VISIONS
--------------------------------------------------------------------------------------------------------------------------------------------
 The most effective could be building the special infrastructure like highways and lanes that
would allow computer driven vehicles only apart from human driven cars. This vision would also
answer the important question of safety as these cars would operate in special lanes which does
not involve any human intervention.
 Convoy technology-The lead car would be driven by an expert driver and directs a virtual train
of self driven vehicles to follow suit. This kind of implementation reduces the complexity involved
in multiple drivers in a convoy.
 Semi automatic-This kind may be in need of some kind of human assistance in judgment on
navigation or getting out of an odd situation, but this may not need 100% of human attention and
hence makes the job of driving simple and less intense to the occupant.
An early robot car is one that runs on a dedicated guide ways. There is a practical difficulty in
implementing this vision on a large scale as the process of customizing the highways gets more
complicated.
4
COLLISION AVOIDANCE
Collision avoidance is said to be one of the driving factors for the design of robot cars. Before describing
the collision avoidance techniques let us consider the given facts related to United States of America.
 A million injuries and loss of 35,000 lives in USA alone because of accidents in one year.
 One person in every 6 minutes loose their life in India because of road accidents(According to 98
statistics )
 230 billion dollars of accident cost
So the task ahead would be to minimize the man made errors .This can be done by reducing human
intervention in driving the vehicle by some external assistance . Collision avoidance system equips the
car with a set of sensors that warns the driver of any dangers that may lie ahead on the road. The
suggestions from the system could be about the proximity of the surrounding cars ,estimates about the
average speed to be maintained when approaching a curve, information about weather or traffic.
Let us look at the various Collision avoidance system that are tested for implementation in the future
cars.
Ford Blind spot Collision Avoidance System:
--------------------------------------------------------------------------------------------------------------------------------------------
Ford is coming up with a collision warning support technology that warns the occupants about the objects
in the surroundings that may be a hazard. The car uses a radar that is fixed at the front and rear sides of
the car .The system reacts to the external hazards by warning the driver using sound chimes and some
red lights fitted at the wind shield. If the hazard still continues then the car takes the control and stops the
car .
The major features of the Fords Collision system are
1) Ford blind spot information system that alerts the driver about moving vehicles driving through the
lot while backing the car in the parking lot when his/her view is blocked by cars .
5
Activation of sensors
in a parking lot when
the car is backing.
2) Alert about the external hazards and takes control by pressing the brake hard if the hazard
continues .
3) Alerts the driver when an vehicle behind his/her car suddenly shifts the lanes .This will assist
when the vehicle moves in the blind spot zone of the driver.
4) Lane departure warning system alerts when the car moves on the lane markers and hence
cautions the drift .
Stability Control system:
--------------------------------------------------------------------------------------------------------------------------------------------
It is an electronic stability control system which uses sensors to keep track of the loss in traction in the
vehicle which enables the antilock brake system to apply individual brakes to keep the vehicle on the
intended path.
Let us take a look at how the stability control works. Consider the car is approaching a sharp turn and the
driver will enter the curve too quickly and exceed the ability to hold to the road through the turn and during
this the car starts skidding and moves away and results in loss of control. Stability control system pulls the
brakes and to help rotate the vehicle to the drivers intended path.
6
Stability control pulsates the
brakes of individual wheels to
help "rotate" the vehicle to the
driver's intended path.
These antiskid systems can assist in most of the critical situations but it cannot help the driver when the
car is speeding at 100 mph and attempting a 90degree turn.
7
GOOGLE CARS
Eric Shmidt the CEO of Google once said that “It’s a bug that cars were invented before computers
.Your car should drive itself.”
Google Entry :
-------------------------------------------------------------------------------------------------------------------------------------------
After revolutionizing the web search, Google is revolutionizing the way people drive their cars. Recently
Google revealed in its official blog about the companies findings on the technology that enables the car to
drive on its own. They reported that the test cars already clocked 1000 miles with out any human
intervention and more than 140,000 miles with minimum human control. This data itself shows how the
concept of automatic driven cars has evolved from the time when the car used to trace a marked line to
today where the car automatically stops at traffic signals and drives for long distances .
The experiment was conducted on seven cars and is manned during the tests. Each vehicle has a person
sitting in the drivers seat ready to take control from the automatic mode in case something go wrong with
the system.
The person sitting in the car is also responsible for monitoring the software operations on the computer.
Google took the project seriously and are trying to make the project flawless and successful .
8
Source :Google
Google hired the engineers from the DARPA challenge. DARPA-It is a US military grand challenge .The
US department of Defense announced a grand challenge to for US-based teams to produce a vehicle that
could autonomously navigate and reach a target in the desert of the south western USA .Today many
international teams also participate in the event to compete in a fully autonomous vehicle races under
various testing conditions like rough unpaved terrains ,suburban setting(2005), urban setting(2007
DARPA urban challenge) ,etc. Google is proposing that computer can be a better driver than human
under the right circumstances and in that sense people would feel be more secure in those cars than self
driven.
Now the real question comes-What is that Google aiming at ? Probably aiming to develop a Google car
OS. The near future will answer that question.
As already mentioned the company is in the view that it is cars that should have come after computers
but not the other way. It should be the computers that drive the machine but not the human. With the
increase in population and ever growing traffic the daily commuting has become a major challenge and
occupies substantial time .Time is so precious and people are looking at ways to be more productive or
get entertained even during travel.
Technology behind Google Cars
-------------------------------------------------------------------------------------------------------------------------------------------
Google equipped the automated cars with video cameras , radio sensors, laser range finders and Google
maps to identify the traffic around .Initially conventional cars were sent to map significant features of the
route like the lane markers and traffic signs. These maps captured by the conventional cars are used to
familiarize the environment and characteristics in advance to the automated cars. The terrain data
obtained by these conventional cars is processed by the Google data centers for processing and then
the cars uses Artificial intelligence to mimic the decisions made by the human driver. The car can
automatically react at the lights and stop signs and has an announcement system which cautions the
person at the driving seat on approaching a crosswalk or a school zone.
Reports revealed that the automated cars react more quickly and consistently than humans and hence
can make the roads safer. When compared to humans computers can use the space more efficiently with
better response times which makes the roads more feasible for additional traffic.
9
Source :Google
Another distinctive feature of the Google cars is that the car can be programmed according to the
personalities of the occupant. Cautious and aggressive. If driven in the cautious mode the car is like to
give way to another speeding vehicle on the other hand if driven in the aggressive mode the car would
like to be the first to go.
The fuel consumption is a value add to the proposition as the heavy foot stop and go procedure can be
eliminated by the automation and there by yielding a better fuel efficiency than human driven cars and
hence can save the Nations fuel costs if implemented at a large scale.
A distant vision does excite some of the optimists that the vehicles can drive by itself when
summoned/commanded electronically as in the case of TV series Night Rider and the movie Batman. In
this case fewer cars would be needed as they can be shared by people .Like the same car after dropping
the husband in the office can get back to home and can be used for other purposes . However there
could be many legal issues that could delay the inevitable. Accountability and interaction is one such big
challenge from a legal point of view.
10
FUTURE OF ROBOTIC CARS
Summary:
--------------------------------------------------------------------------------------------------------------------------------------------
 Robocars are soon going to be a reality .Google cars which already clocked 1000 miles is an
indication towards this milestone.
 The system uses artificial intelligence to either assist the driver in collision avoidance or drive the
vehicle by itself.
 Collision avoidance is an extremely important development as many as 1.2 million lives are lost
worldwide in accidents.
 Saves hundreds of billions of accident cost by reducing the accident rate.
 Recent report of Insurance Institute for Highway Safety stated that the impact of automated
control systems in car can save 10,000 lives a year when compared to 1200 lives saved by the
safety equipment like airbags
 Blind spot information and lane detection system, auto brake system are few techniques to avoid
collisions under different conditions
 Military Prompted-Military demand and desire for such automated systems by the general public
is one of the major driving factor towards this vision.
 E cars-Move towards computer equipped cars will also focus on alternate fuels like electricity
 Greener: Efficient electric cars could reduce urban car greenhouse gas emissions by 80%.
 Electric cars would reduce the dependency on oil producing countries and hence brings in
stability to the transporting sector.
 Ultra light electric cars can be more economical and efficient that heavy passenger vehicles.
 Completely autonomous vehicles will be beneficial for people who are looking at ways to be more
productive or get entertained even during travel
 Autonomous vehicles can also ride on the streets safely with human driven cars and pedestrians.
 Traffic congestion and parking problems can be handled more efficiently with the advent of robot
cars.
 Cars that can be summoned-Same car can used efficiently for multiple purposes by multiple
people
 Robotaxi , a car that can be summoned using a cell phone which will bring itself to you on
demand and gives you the freedom to choose the right car.
 Low Infrastructure costs: Existing Infrastructure is sufficient to bring the Robot cars on to the road
to share the space with cars driven by people
11
 Mandate can made by developed countries about the computer controlled vehicle control for
every car in the near future to have safe and efficient traffic .
 Already the Anti lock Braking System(ABS) needed to stabilize the car in turnings is becoming a
must feature in the new model cars.
 There is a shift in auto companies affinity towards developing automated systems from providing
safety features like airbags to prevent the accident rather than minimizing the impact of accident.
 Many companies are coming with image processors to identify the presence of an obstruction
like a pedestrian or the vehicle.
However there could be many legal issues that could delay the inevitable. Accountability and
interaction is one such big challenge from a legal point of view.
12
REFERENCES:
--------------------------------------------------------------------------------------------------------------------------------------------
 Where Robocars can really take us : By Brad Templeton
 Google cars-a self driven Machine : A technical article in Dazeinfo
 Google cars drive themselves in traffic : The New York times editorial
 Stability control from How Stuff Works

Mais conteúdo relacionado

Mais procurados

Roadmap to the autonomous car
Roadmap to the autonomous carRoadmap to the autonomous car
Roadmap to the autonomous carGroupe PSA
 
IRJET- AI Based Traffic Signal Control System
IRJET- AI Based Traffic Signal Control SystemIRJET- AI Based Traffic Signal Control System
IRJET- AI Based Traffic Signal Control SystemIRJET Journal
 
Automated Highway System Report
Automated Highway System ReportAutomated Highway System Report
Automated Highway System ReportSamir8880
 
Collision Avoidance System
Collision Avoidance SystemCollision Avoidance System
Collision Avoidance SystemSiddharth Mehta
 
intelligence braking system
intelligence braking system intelligence braking system
intelligence braking system paras gupta
 
Traffic laws, rules and regulations and
Traffic laws, rules and regulations andTraffic laws, rules and regulations and
Traffic laws, rules and regulations andMaricar Lavayna
 
Non Traditional And Alternative Vehicles New
Non Traditional And Alternative Vehicles NewNon Traditional And Alternative Vehicles New
Non Traditional And Alternative Vehicles Newcooklr
 
Session 5.1 – Road Transport & Safety Bill and Its Impact on Public Transport
Session 5.1 – Road Transport & Safety Bill and Its Impact on Public Transport Session 5.1 – Road Transport & Safety Bill and Its Impact on Public Transport
Session 5.1 – Road Transport & Safety Bill and Its Impact on Public Transport WRI Ross Center for Sustainable Cities
 

Mais procurados (13)

Smartphone based ADAS
Smartphone based ADASSmartphone based ADAS
Smartphone based ADAS
 
Projectproposal
ProjectproposalProjectproposal
Projectproposal
 
Roadmap to the autonomous car
Roadmap to the autonomous carRoadmap to the autonomous car
Roadmap to the autonomous car
 
IRJET- AI Based Traffic Signal Control System
IRJET- AI Based Traffic Signal Control SystemIRJET- AI Based Traffic Signal Control System
IRJET- AI Based Traffic Signal Control System
 
Automated Highway System Report
Automated Highway System ReportAutomated Highway System Report
Automated Highway System Report
 
Collision Avoidance System
Collision Avoidance SystemCollision Avoidance System
Collision Avoidance System
 
intelligence braking system
intelligence braking system intelligence braking system
intelligence braking system
 
Traffic laws, rules and regulations and
Traffic laws, rules and regulations andTraffic laws, rules and regulations and
Traffic laws, rules and regulations and
 
Non Traditional And Alternative Vehicles New
Non Traditional And Alternative Vehicles NewNon Traditional And Alternative Vehicles New
Non Traditional And Alternative Vehicles New
 
Autonomous car
Autonomous carAutonomous car
Autonomous car
 
CMVR 1989
CMVR 1989CMVR 1989
CMVR 1989
 
Smart Automotive
Smart AutomotiveSmart Automotive
Smart Automotive
 
Session 5.1 – Road Transport & Safety Bill and Its Impact on Public Transport
Session 5.1 – Road Transport & Safety Bill and Its Impact on Public Transport Session 5.1 – Road Transport & Safety Bill and Its Impact on Public Transport
Session 5.1 – Road Transport & Safety Bill and Its Impact on Public Transport
 

Semelhante a Term paper on robot cars

The International Journal of Engineering and Science (IJES)
The International Journal of Engineering and Science (IJES)The International Journal of Engineering and Science (IJES)
The International Journal of Engineering and Science (IJES)theijes
 
Smart car to reduce risk of accident
Smart car to reduce risk of accidentSmart car to reduce risk of accident
Smart car to reduce risk of accidentslmnsvn
 
Semi-Autonomous Vehicle
Semi-Autonomous VehicleSemi-Autonomous Vehicle
Semi-Autonomous VehicleIRJET Journal
 
Road traffic rules synthesis using ge
Road traffic rules synthesis using geRoad traffic rules synthesis using ge
Road traffic rules synthesis using geJacopo Talamini
 
Autonomous driving system (ads)
Autonomous driving system (ads)Autonomous driving system (ads)
Autonomous driving system (ads)Justin Jacob
 
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...IRJET Journal
 
Minimum cost implementation of autonomous vehicle
Minimum cost implementation of autonomous vehicleMinimum cost implementation of autonomous vehicle
Minimum cost implementation of autonomous vehicleeSAT Journals
 
Advance Drive Interface, Brake Health Monitor
Advance Drive Interface, Brake Health MonitorAdvance Drive Interface, Brake Health Monitor
Advance Drive Interface, Brake Health MonitorIRJET Journal
 
Fuzzy System Model for Management of Driver Distractions in Motor Vehicles
Fuzzy System Model for Management of Driver Distractions in Motor VehiclesFuzzy System Model for Management of Driver Distractions in Motor Vehicles
Fuzzy System Model for Management of Driver Distractions in Motor VehiclesEswar Publications
 
Ieeepro techno solutions ieee 2014 embedded project gps-copilot real-time ...
Ieeepro techno solutions    ieee 2014 embedded project gps-copilot real-time ...Ieeepro techno solutions    ieee 2014 embedded project gps-copilot real-time ...
Ieeepro techno solutions ieee 2014 embedded project gps-copilot real-time ...srinivasanece7
 
Automatic Park and retrieve assissted systems for automobiles using smartphone
Automatic Park and retrieve assissted systems for automobiles using smartphoneAutomatic Park and retrieve assissted systems for automobiles using smartphone
Automatic Park and retrieve assissted systems for automobiles using smartphonetheijes
 
Automatic Park and retrieve assissted systems for automobiles using smartphone
Automatic Park and retrieve assissted systems for automobiles using smartphoneAutomatic Park and retrieve assissted systems for automobiles using smartphone
Automatic Park and retrieve assissted systems for automobiles using smartphonetheijes
 
Vehicle Related Prevention Techniques: Pothole/Speedbreaker Detection and Ant...
Vehicle Related Prevention Techniques: Pothole/Speedbreaker Detection and Ant...Vehicle Related Prevention Techniques: Pothole/Speedbreaker Detection and Ant...
Vehicle Related Prevention Techniques: Pothole/Speedbreaker Detection and Ant...IRJET Journal
 
AN AUTOMATED CAR PARKING SYSTEM BY USING PROGAMMABLE LOGIC CONTROLLER
AN AUTOMATED CAR PARKING SYSTEM BY USING PROGAMMABLE LOGIC CONTROLLERAN AUTOMATED CAR PARKING SYSTEM BY USING PROGAMMABLE LOGIC CONTROLLER
AN AUTOMATED CAR PARKING SYSTEM BY USING PROGAMMABLE LOGIC CONTROLLERIRJET Journal
 
IRJET- Smart Travel Automated Vehicle
IRJET- Smart Travel Automated VehicleIRJET- Smart Travel Automated Vehicle
IRJET- Smart Travel Automated VehicleIRJET Journal
 
Presentation.pptx
Presentation.pptxPresentation.pptx
Presentation.pptxmpponmudi
 
Connected Car Security
Connected Car SecurityConnected Car Security
Connected Car SecuritySuresh Mandava
 
IRJET- To Develop a Distance Algorithm using Sensor Networks for Adaptive Cru...
IRJET- To Develop a Distance Algorithm using Sensor Networks for Adaptive Cru...IRJET- To Develop a Distance Algorithm using Sensor Networks for Adaptive Cru...
IRJET- To Develop a Distance Algorithm using Sensor Networks for Adaptive Cru...IRJET Journal
 

Semelhante a Term paper on robot cars (20)

Robot cars
Robot carsRobot cars
Robot cars
 
The International Journal of Engineering and Science (IJES)
The International Journal of Engineering and Science (IJES)The International Journal of Engineering and Science (IJES)
The International Journal of Engineering and Science (IJES)
 
Smart car to reduce risk of accident
Smart car to reduce risk of accidentSmart car to reduce risk of accident
Smart car to reduce risk of accident
 
Semi-Autonomous Vehicle
Semi-Autonomous VehicleSemi-Autonomous Vehicle
Semi-Autonomous Vehicle
 
Road traffic rules synthesis using ge
Road traffic rules synthesis using geRoad traffic rules synthesis using ge
Road traffic rules synthesis using ge
 
Autonomous driving system (ads)
Autonomous driving system (ads)Autonomous driving system (ads)
Autonomous driving system (ads)
 
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...
 
final_report
final_reportfinal_report
final_report
 
Minimum cost implementation of autonomous vehicle
Minimum cost implementation of autonomous vehicleMinimum cost implementation of autonomous vehicle
Minimum cost implementation of autonomous vehicle
 
Advance Drive Interface, Brake Health Monitor
Advance Drive Interface, Brake Health MonitorAdvance Drive Interface, Brake Health Monitor
Advance Drive Interface, Brake Health Monitor
 
Fuzzy System Model for Management of Driver Distractions in Motor Vehicles
Fuzzy System Model for Management of Driver Distractions in Motor VehiclesFuzzy System Model for Management of Driver Distractions in Motor Vehicles
Fuzzy System Model for Management of Driver Distractions in Motor Vehicles
 
Ieeepro techno solutions ieee 2014 embedded project gps-copilot real-time ...
Ieeepro techno solutions    ieee 2014 embedded project gps-copilot real-time ...Ieeepro techno solutions    ieee 2014 embedded project gps-copilot real-time ...
Ieeepro techno solutions ieee 2014 embedded project gps-copilot real-time ...
 
Automatic Park and retrieve assissted systems for automobiles using smartphone
Automatic Park and retrieve assissted systems for automobiles using smartphoneAutomatic Park and retrieve assissted systems for automobiles using smartphone
Automatic Park and retrieve assissted systems for automobiles using smartphone
 
Automatic Park and retrieve assissted systems for automobiles using smartphone
Automatic Park and retrieve assissted systems for automobiles using smartphoneAutomatic Park and retrieve assissted systems for automobiles using smartphone
Automatic Park and retrieve assissted systems for automobiles using smartphone
 
Vehicle Related Prevention Techniques: Pothole/Speedbreaker Detection and Ant...
Vehicle Related Prevention Techniques: Pothole/Speedbreaker Detection and Ant...Vehicle Related Prevention Techniques: Pothole/Speedbreaker Detection and Ant...
Vehicle Related Prevention Techniques: Pothole/Speedbreaker Detection and Ant...
 
AN AUTOMATED CAR PARKING SYSTEM BY USING PROGAMMABLE LOGIC CONTROLLER
AN AUTOMATED CAR PARKING SYSTEM BY USING PROGAMMABLE LOGIC CONTROLLERAN AUTOMATED CAR PARKING SYSTEM BY USING PROGAMMABLE LOGIC CONTROLLER
AN AUTOMATED CAR PARKING SYSTEM BY USING PROGAMMABLE LOGIC CONTROLLER
 
IRJET- Smart Travel Automated Vehicle
IRJET- Smart Travel Automated VehicleIRJET- Smart Travel Automated Vehicle
IRJET- Smart Travel Automated Vehicle
 
Presentation.pptx
Presentation.pptxPresentation.pptx
Presentation.pptx
 
Connected Car Security
Connected Car SecurityConnected Car Security
Connected Car Security
 
IRJET- To Develop a Distance Algorithm using Sensor Networks for Adaptive Cru...
IRJET- To Develop a Distance Algorithm using Sensor Networks for Adaptive Cru...IRJET- To Develop a Distance Algorithm using Sensor Networks for Adaptive Cru...
IRJET- To Develop a Distance Algorithm using Sensor Networks for Adaptive Cru...
 

Último

The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...Aggregage
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDELiveplex
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1DianaGray10
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsSeth Reyes
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesDavid Newbury
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...DianaGray10
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxGDSC PJATK
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Commit University
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6DianaGray10
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxUdaiappa Ramachandran
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URLRuncy Oommen
 

Último (20)

The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
 
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDEADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
ADOPTING WEB 3 FOR YOUR BUSINESS: A STEP-BY-STEP GUIDE
 
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1UiPath Platform: The Backend Engine Powering Your Automation - Session 1
UiPath Platform: The Backend Engine Powering Your Automation - Session 1
 
201610817 - edge part1
201610817 - edge part1201610817 - edge part1
201610817 - edge part1
 
Computer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and HazardsComputer 10: Lesson 10 - Online Crimes and Hazards
Computer 10: Lesson 10 - Online Crimes and Hazards
 
Linked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond OntologiesLinked Data in Production: Moving Beyond Ontologies
Linked Data in Production: Moving Beyond Ontologies
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and Istio
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptx
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6UiPath Studio Web workshop series - Day 6
UiPath Studio Web workshop series - Day 6
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptx
 
Designing A Time bound resource download URL
Designing A Time bound resource download URLDesigning A Time bound resource download URL
Designing A Time bound resource download URL
 

Term paper on robot cars

  • 1. 1 Term Paper on Robot Cars Instructor: Dr Prithwis Mukerjee Raghava Kumar Lagudu(10BM60064) raghavlrk@gmail.com MBA 1st year,2010-2012 batch Vinod Gupta School of Management IIT Kharagpur -------------------------------------------------------------------------------------------------------------------------------------------- ABSTRACT This paper gives an introduction about the advancements in science towards a robot driven car .An introduction to collision avoidance system and an overview of the experimental studies of Google robot car are also presented. This paper also presents various collision avoidance techniques in case of adversities like bad weather ,bad roads etc. INTRODUCTION “This car’s is a pretty good driver” quoted by Mikaela from the movie Transformers pointing at the empty drivers seat referring to an Autobot. Soon automatically driven cars is going to be a reality. Robot cars are electronic controlled systems functioning in a reflexive way that automatically adjusts itself to provide assistance to the driver or to maneuver the vehicle all by itself. Robot cars are equipped with autopilot systems which can drive by itself. There had been extensive experimentation on auto pilots cars since 1980s where Mercedes Benz came up with a concept of Robot van. Since then there were many experiments conducted by various automobile companies and some research laboratories .The primary aim of autopilot systems is to reduce the automobile related deaths by using a computer as researchers feel that computers perform consistently better than humans under testing conditions. This paper presents the evolution of driverless cars from the conception of the idea to the latest Google robot cars. Collision avoidance is said to be one of the driving factors for the design of robot cars. Collision avoidance is the process is preventing a vehicle from colliding with any other vehicle or object. The collision avoidance is not an exclusive concern for automobiles it can also be referred to Collision avoidance(Spacecraft),Collision avoidance(aircraft).
  • 2. 2 What is a Robot car ? -------------------------------------------------------------------------------------------------------------------------------------------- Robot cars are to the cars equipped with artificial intelligence software. This technology is required for self driving cars and is already tested in some of the concept cars. There is an incremental path to get us there .Computers are considered to be the most important part of the robot cars. Evolution of Robot Cars: -------------------------------------------------------------------------------------------------------------------------------------------- Computers are the most important components of a Robot car. The evolution started in 1977 in a Japanese laboratory when the computers are much slower than they are today. The fact is that today’s computers are more than 1000 times faster than they are in the 1970s. Tsukuba Mechanical Engineering Lab in Japan is the first one to experiment with driverless cars in 1977.They came up with a car equipped with special hardware. The car thus developed could achieve a speed of 30Km/Hr on a clearly marked course by tracking the white street markers laid through the course. Mercedes built the robot car in 1980 by converting the S class Mercedes. The car achieved a speed exceeding 175Km/hr .This achievement by Mercedes with a team of professors has heavily influenced robot car research and funding decisions worldwide. The Defense Advanced Research in 1980 has funded for autonomous land vehicle has achieved the first road demonstration. The VaMP and Vita-2 of Daimler-Benz is the first step towards truly autonomous cars. They were able to drive in human traffic with out long interventions using computer vision to recognize rapidly moving obstacles. In 1994 with a safety driver and the guests onboard the twins drove for more than 1000 miles in normal traffic on a highway at speed up to 130Km/hr. An year later in 1995 the autonomous Mercedes Benz took a trip for more than 1600 kms using quick process computer vision along with microprocessor to respond in real time. This car also drove up to 158 kms without any human intervention. In the same year Carnegie Mellon University designed a no hand across semi automatic car which used neural networks to control the steering wheel but the brakes and throttle are human controlled.
  • 3. 3 Key aspects of Robot Car: --------------------------------------------------------------------------------------------------------------------------------------------  Existing Infrastructure is sufficient to bring the Robot cars on to the road to share the space with cars driven by people. But may be with the assistance of small non physical infrastructure like networks and databases.  Safety could be a major reason to take this dream to a reality as automated driving if can be implemented to handle all intricacies of driving will be provide safe and regulated traffic. If the automated driving has to be implemented then it has to have a safety record superior to human driving and much more effective than alert drivers.  Robot cars can be scaled to an extent of driving the car autonomously with out even the need for monitoring by the occupants inside the car. The cars if given the destination will require the least assistance and can navigate on its own.  The concept of building a Robot car emphasizes focus on alternate fuels like electricity and could pave way for electric cars to share the existing market of gasoline cars. ALTERNATE VISIONS --------------------------------------------------------------------------------------------------------------------------------------------  The most effective could be building the special infrastructure like highways and lanes that would allow computer driven vehicles only apart from human driven cars. This vision would also answer the important question of safety as these cars would operate in special lanes which does not involve any human intervention.  Convoy technology-The lead car would be driven by an expert driver and directs a virtual train of self driven vehicles to follow suit. This kind of implementation reduces the complexity involved in multiple drivers in a convoy.  Semi automatic-This kind may be in need of some kind of human assistance in judgment on navigation or getting out of an odd situation, but this may not need 100% of human attention and hence makes the job of driving simple and less intense to the occupant. An early robot car is one that runs on a dedicated guide ways. There is a practical difficulty in implementing this vision on a large scale as the process of customizing the highways gets more complicated.
  • 4. 4 COLLISION AVOIDANCE Collision avoidance is said to be one of the driving factors for the design of robot cars. Before describing the collision avoidance techniques let us consider the given facts related to United States of America.  A million injuries and loss of 35,000 lives in USA alone because of accidents in one year.  One person in every 6 minutes loose their life in India because of road accidents(According to 98 statistics )  230 billion dollars of accident cost So the task ahead would be to minimize the man made errors .This can be done by reducing human intervention in driving the vehicle by some external assistance . Collision avoidance system equips the car with a set of sensors that warns the driver of any dangers that may lie ahead on the road. The suggestions from the system could be about the proximity of the surrounding cars ,estimates about the average speed to be maintained when approaching a curve, information about weather or traffic. Let us look at the various Collision avoidance system that are tested for implementation in the future cars. Ford Blind spot Collision Avoidance System: -------------------------------------------------------------------------------------------------------------------------------------------- Ford is coming up with a collision warning support technology that warns the occupants about the objects in the surroundings that may be a hazard. The car uses a radar that is fixed at the front and rear sides of the car .The system reacts to the external hazards by warning the driver using sound chimes and some red lights fitted at the wind shield. If the hazard still continues then the car takes the control and stops the car . The major features of the Fords Collision system are 1) Ford blind spot information system that alerts the driver about moving vehicles driving through the lot while backing the car in the parking lot when his/her view is blocked by cars .
  • 5. 5 Activation of sensors in a parking lot when the car is backing. 2) Alert about the external hazards and takes control by pressing the brake hard if the hazard continues . 3) Alerts the driver when an vehicle behind his/her car suddenly shifts the lanes .This will assist when the vehicle moves in the blind spot zone of the driver. 4) Lane departure warning system alerts when the car moves on the lane markers and hence cautions the drift . Stability Control system: -------------------------------------------------------------------------------------------------------------------------------------------- It is an electronic stability control system which uses sensors to keep track of the loss in traction in the vehicle which enables the antilock brake system to apply individual brakes to keep the vehicle on the intended path. Let us take a look at how the stability control works. Consider the car is approaching a sharp turn and the driver will enter the curve too quickly and exceed the ability to hold to the road through the turn and during this the car starts skidding and moves away and results in loss of control. Stability control system pulls the brakes and to help rotate the vehicle to the drivers intended path.
  • 6. 6 Stability control pulsates the brakes of individual wheels to help "rotate" the vehicle to the driver's intended path. These antiskid systems can assist in most of the critical situations but it cannot help the driver when the car is speeding at 100 mph and attempting a 90degree turn.
  • 7. 7 GOOGLE CARS Eric Shmidt the CEO of Google once said that “It’s a bug that cars were invented before computers .Your car should drive itself.” Google Entry : ------------------------------------------------------------------------------------------------------------------------------------------- After revolutionizing the web search, Google is revolutionizing the way people drive their cars. Recently Google revealed in its official blog about the companies findings on the technology that enables the car to drive on its own. They reported that the test cars already clocked 1000 miles with out any human intervention and more than 140,000 miles with minimum human control. This data itself shows how the concept of automatic driven cars has evolved from the time when the car used to trace a marked line to today where the car automatically stops at traffic signals and drives for long distances . The experiment was conducted on seven cars and is manned during the tests. Each vehicle has a person sitting in the drivers seat ready to take control from the automatic mode in case something go wrong with the system. The person sitting in the car is also responsible for monitoring the software operations on the computer. Google took the project seriously and are trying to make the project flawless and successful .
  • 8. 8 Source :Google Google hired the engineers from the DARPA challenge. DARPA-It is a US military grand challenge .The US department of Defense announced a grand challenge to for US-based teams to produce a vehicle that could autonomously navigate and reach a target in the desert of the south western USA .Today many international teams also participate in the event to compete in a fully autonomous vehicle races under various testing conditions like rough unpaved terrains ,suburban setting(2005), urban setting(2007 DARPA urban challenge) ,etc. Google is proposing that computer can be a better driver than human under the right circumstances and in that sense people would feel be more secure in those cars than self driven. Now the real question comes-What is that Google aiming at ? Probably aiming to develop a Google car OS. The near future will answer that question. As already mentioned the company is in the view that it is cars that should have come after computers but not the other way. It should be the computers that drive the machine but not the human. With the increase in population and ever growing traffic the daily commuting has become a major challenge and occupies substantial time .Time is so precious and people are looking at ways to be more productive or get entertained even during travel. Technology behind Google Cars ------------------------------------------------------------------------------------------------------------------------------------------- Google equipped the automated cars with video cameras , radio sensors, laser range finders and Google maps to identify the traffic around .Initially conventional cars were sent to map significant features of the route like the lane markers and traffic signs. These maps captured by the conventional cars are used to familiarize the environment and characteristics in advance to the automated cars. The terrain data obtained by these conventional cars is processed by the Google data centers for processing and then the cars uses Artificial intelligence to mimic the decisions made by the human driver. The car can automatically react at the lights and stop signs and has an announcement system which cautions the person at the driving seat on approaching a crosswalk or a school zone. Reports revealed that the automated cars react more quickly and consistently than humans and hence can make the roads safer. When compared to humans computers can use the space more efficiently with better response times which makes the roads more feasible for additional traffic.
  • 9. 9 Source :Google Another distinctive feature of the Google cars is that the car can be programmed according to the personalities of the occupant. Cautious and aggressive. If driven in the cautious mode the car is like to give way to another speeding vehicle on the other hand if driven in the aggressive mode the car would like to be the first to go. The fuel consumption is a value add to the proposition as the heavy foot stop and go procedure can be eliminated by the automation and there by yielding a better fuel efficiency than human driven cars and hence can save the Nations fuel costs if implemented at a large scale. A distant vision does excite some of the optimists that the vehicles can drive by itself when summoned/commanded electronically as in the case of TV series Night Rider and the movie Batman. In this case fewer cars would be needed as they can be shared by people .Like the same car after dropping the husband in the office can get back to home and can be used for other purposes . However there could be many legal issues that could delay the inevitable. Accountability and interaction is one such big challenge from a legal point of view.
  • 10. 10 FUTURE OF ROBOTIC CARS Summary: --------------------------------------------------------------------------------------------------------------------------------------------  Robocars are soon going to be a reality .Google cars which already clocked 1000 miles is an indication towards this milestone.  The system uses artificial intelligence to either assist the driver in collision avoidance or drive the vehicle by itself.  Collision avoidance is an extremely important development as many as 1.2 million lives are lost worldwide in accidents.  Saves hundreds of billions of accident cost by reducing the accident rate.  Recent report of Insurance Institute for Highway Safety stated that the impact of automated control systems in car can save 10,000 lives a year when compared to 1200 lives saved by the safety equipment like airbags  Blind spot information and lane detection system, auto brake system are few techniques to avoid collisions under different conditions  Military Prompted-Military demand and desire for such automated systems by the general public is one of the major driving factor towards this vision.  E cars-Move towards computer equipped cars will also focus on alternate fuels like electricity  Greener: Efficient electric cars could reduce urban car greenhouse gas emissions by 80%.  Electric cars would reduce the dependency on oil producing countries and hence brings in stability to the transporting sector.  Ultra light electric cars can be more economical and efficient that heavy passenger vehicles.  Completely autonomous vehicles will be beneficial for people who are looking at ways to be more productive or get entertained even during travel  Autonomous vehicles can also ride on the streets safely with human driven cars and pedestrians.  Traffic congestion and parking problems can be handled more efficiently with the advent of robot cars.  Cars that can be summoned-Same car can used efficiently for multiple purposes by multiple people  Robotaxi , a car that can be summoned using a cell phone which will bring itself to you on demand and gives you the freedom to choose the right car.  Low Infrastructure costs: Existing Infrastructure is sufficient to bring the Robot cars on to the road to share the space with cars driven by people
  • 11. 11  Mandate can made by developed countries about the computer controlled vehicle control for every car in the near future to have safe and efficient traffic .  Already the Anti lock Braking System(ABS) needed to stabilize the car in turnings is becoming a must feature in the new model cars.  There is a shift in auto companies affinity towards developing automated systems from providing safety features like airbags to prevent the accident rather than minimizing the impact of accident.  Many companies are coming with image processors to identify the presence of an obstruction like a pedestrian or the vehicle. However there could be many legal issues that could delay the inevitable. Accountability and interaction is one such big challenge from a legal point of view.
  • 12. 12 REFERENCES: --------------------------------------------------------------------------------------------------------------------------------------------  Where Robocars can really take us : By Brad Templeton  Google cars-a self driven Machine : A technical article in Dazeinfo  Google cars drive themselves in traffic : The New York times editorial  Stability control from How Stuff Works