Leadership Session: AWS Automotive - Paving the Way for the Future of the Automotive Industry (AMT201-L) - AWS re:Invent 2018
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The automotive industry is undergoing rapid change in every area, and cloud computing is at the center of this transformation. In this session, learn how leading global automotive companies are partnering with AWS to transition their enterprises to create innovative, connected brand experiences and future mobility services. Volkswagen Group discusses how they are migrating legacy applications to create an agile, scalable, microservices-based digital platform using AWS as a cloud service provider, serving their 12 global brands and connecting millions of vehicles. BMW Group shows how they modernized their digital customer engagement platform by migrating their monolithic backend to a microservice-based platform and subsequently leveraging multiple AWS services to support more than 28 front-end customer touchpoints across auto and motorcycle brands. Finally, Toyota Research Institute shows how they are using deep learning on Amazon EC2 P3 instances, Amazon S3, Amazon SQS, and AWS networking services to accelerate the research and development of their automated driving systems.
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Semelhante a Leadership Session: AWS Automotive - Paving the Way for the Future of the Automotive Industry (AMT201-L) - AWS re:Invent 2018
Semelhante a Leadership Session: AWS Automotive - Paving the Way for the Future of the Automotive Industry (AMT201-L) - AWS re:Invent 2018 (20)
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Leadership Session: AWS Automotive - Paving the Way for the Future of the Automotive Industry (AMT201-L) - AWS re:Invent 2018
- 2. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS Automotive – Paving the Way for the Future of the Automotive Industry Sanat Joshi Head of WW BD Automotive and Manufacturing BD https://aws.amazon.com/automotive A M T 2 0 1
- 3. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Agenda 1. Automotive Industry Transformation 2. AWS in Automotive 3. Digital Transformation Leaders In the Automotive Industry Volkswagen AG BMW Group Toyota Research Institute 4. Wrap-up
- 4. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. What do you know about Amazon Web Services? $24 Billion Run Rate 49% YoY (Q2’18)
- 5. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Automotive Transformation
- 6. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Automotive Transformation
- 7. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS for Automotive
- 8. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS for Automotive
- 9. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS for Automotive Connected Vehicles Peter Garzarella Volkswagen AG Digital Customer Engagement Patrick Lanners BMW Group Autonomous Vehicle Development Mike Garrison Toyota Research Institute
- 10. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
- 11. Volkswagen @ a Glance 642.292
- 12. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. The digital transformation is disrupting the traditional OEM business models
- 13. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Volkswagen has started the biggest change process in its history
- 14. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Volkswagen has started the biggest change process in its history
- 15. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Volkswagen has started the biggest change process in its history
- 16. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. former challenge in software development
- 17. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. former challenge in software development cost quality time+ +business
- 18. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. today’s challenge in software development are getting more complex… speed functions & features ux+ + customers
- 19. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. …and even more… stability scalability availability+ + technology
- 20. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. today’s challenge in software development is complex cost quality time+ + speed functions & features ux+ + stability scalability availability+ + + + + + + + business customer technology
- 21. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. creating software - thoughts technology + develop & code = happy customer product teams
- 22. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. creating software - experience product teams technology + = unhappy product teams
- 23. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. creating software – need for a change rescope aws and platform in place time to focus focus on customer centric software orchestrate & automate x lines of platform- code …and growing platform engineers team Platform team established and operating 5 regions spending day by day worktime on getting organized spending day by day worktime on getting organized busy with technology evaluation almost no automation at all
- 24. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. creating software – change completed rescope aws and platform in place time to focus focus on customer centric software orchestrate & automate x lines of platform- code …and growing platform engineers team Platform team established and operating 5 regions
- 25. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
- 26. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. we did not forget about: cost quality time+ +business
- 27. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. creating software - reality + develop & code = happy customer product teams
- 28. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. a platform is empowering transformation.
- 29. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Learn more Thurs, November 29 AMT304 – Building Volkswagen Group’s Digital Ecosystem 1:00PM – 2:00PM | MGM, Level 1, Grand Ballroom 111
- 30. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
- 31. UCP | Lanners, FG-610 | 08.06.2017Seite 31 Introduction. Evolution from a monolithto microservices. Strategic change &transitionto AWS. 1 2 3 Conclusion.4
- 32. Page 32BMW Group | AWS re:Invent 2018 THE PLATFORM CONSOLIDATES THE VEHICLE PRODUCTS AS SERVICES. ~7 Engines ~12 Colors ~14 Wheels ~11 Upholstery ~7 Trims ~90 Optional Equipment many possibilitiesto configure your dream car = OUR PLATFORM CONSOLIDATES THE VEHICLE PRODUCTS AS SERVICES.
- 33. Page 33BMW Group | AWS re:Invent 2018 EXAMPLES OF FRONTENDS WHICH USE OUR CONFIGURATOR PLATFORM. Dealer iPad Configurator bmw.de mini.at bmw-motorrad.de 26+ Systems
- 34. Page 34BMW Group | AWS re:Invent 2018 UNIFIED CONFIGURATOR PLATFORM: CENTRAL ENGAGEMENT PLATFORM AS BUSINESS ENABLER. Unified Configurator Platform Accessories Product Data Officialtechnical Data Net-Gross-Price Calculation Virtual Garage Constructability Check Data Import Data Generation Product Data Technical Data … consumes API ... Technical Calculations Key facts: - RESTful API - used by ~30 products - hundreds of Mio API calls per month - supports all BMW Group brands and markets
- 35. UCP | Lanners, FG-610 | 08.06.2017Seite 35 Introduction. Evolution from a monolithto microservices. Strategic change &transitionto AWS. 1 2 3 Conclusion.4
- 36. Page 36BMW Group | AWS re:Invent 2018 A MONOLITHIC SYSTEM ISN‘T BYDEFINITION A BAD THING. Monolith Team clients Benefits: Fast development of a first production ready MVP No need to handle the challenges of a distributed system Challenges and driving factors for going the next step: Increased number of requirements led to an increase of the overall complexity
- 37. Page 37BMW Group | AWS re:Invent 2018 MICROSERVICES WITH API-FIRST STRATEGY: ENABLES FASTER DEVELOPMENT AND INCREASED TRANSPARANCY. Benefits: Increased transparency for API consumer due to API first approach Multiple teams can work independently Challenges and driving factors for going the next step: Latency performance to provide our service on a world wide basis Broader solution scope needed to satisfy business needs Teams clients MS MS MS MS
- 38. UCP | Lanners, FG-610 | 08.06.2017Seite 38 Introduction. Evolution from a monolithto microservices. Strategic change &transitionto AWS. 1 2 3 Conclusion.4
- 39. Page 39BMW Group | AWS re:Invent 2018 Getting the IT back.
- 40. Page 40BMW Group | AWS re:Invent 2018 GAME CHANGER: BRINGING THE MICROSERVICES IN A „LIFT-THINK-SHIFT“-APPROACH TO AWS. AWS Elastic Beanstalk AWS API-Gateway AWS ECS + AWS Batch AWS RDS AWS-Cloud Glassfish 4 Microservice Software Business Logic API Specification Transformation into API-GW Transformation from ORACLEto Postgres API-Sec. Auth. Information Dockerize the business logic Specifications WEB-EAM Master Solution On-Premise Off-Premise API-Interface (generated) Authentication Information Docker + GF4 Microservice DB Software Business Logic Rewrite import procedures from PL/SQLto Java Microservice DB Import Job Docker Software Import Job
- 41. UCP | Lanners, FG-610 | 08.06.2017Seite 41 Introduction. Evolution from a monolithto microservices. Strategic change &transitionto AWS. 1 2 3 Conclusion.4
- 42. Page 42BMW Group | AWS re:Invent 2018 MOVINGTO AWS ENABLED US TO INCREASE OUR IN-HOUSE EFFORT. DEV OPS Code Deploy Test Monitor DEV OPS Code Deploy Test Monitor BEFORE NOW
- 43. Page 43BMW Group | AWS re:Invent 2018 TRANSITIONING TO AWS WITH 100% IN-HOUSE EFFORT PAID OFF. - Reduced timeto market – daily releases instead of 3 major releases per year. - Supports agile culture for flexible and continuous improvements. - Enables building solutions on state of the art technologies. - Enables new business opportunities.
- 44. LEARN MORE Visit the re:Invent website to view our session from yesterday AMT305 – Building BMW Group’s Customer Engagement Platform on AWS
- 45. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
- 46. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Toyota Research Institute TRI mission Our mission is to improve the quality of human life through advances in artificial intelligence, automated driving, and robotics • Formed January 2016 • Three facilities and collaboration with related Toyota companies • Iterate and prototype quickly • Be agile • Cutting edge technology
- 47. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. TRI’s automated driving vision Create a safe, robust, and versatile automated driving system that supports both series and parallel operating modes
- 48. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. TRI autonomy software: one system, two modes
- 49. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
- 50. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Data • Massive amount of data • 1Tb/hour per car • 90 for every car
- 51. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Compute • Scale • Horizontally and vertically • Technology advancement • Nvidia Pascal – Mid 2016 • Nvidia Volta – Mid 2017
- 52. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Short iteration time • Model Development workflow • Build • Continuous Integration • Train and tune • Optimize and validate
- 53. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Iteration times • Build • Hours to Minutes • Continuous Integration • Hours to Minutes • Train and tune • Weeks to Hours • Optimize and validate • Weeks to Hours
- 54. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
- 55. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Local site Car to cloud NAS VM Ingest Internet Amazon S3 Bucket with Objects SQS Queues AWS DX Remote (all items in local also exist) Real-time communication NAS VM SQS Queue Monitor
- 56. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Machine learning clusters Model parameter object store BeeGFS RAM-based storage array DL placement group Amazon EFS Deep learning application stack Cluster-wide persistent storage Amazon S3 Bastion host | BeeGFS management node | Cluster monitoring Auto scaling worker nodes Auto scaling BeeGFS RAM storage nodes P3 P3 P3 R5 R5 R5 R4
- 57. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Benefits of AWS: Focus time on differentiation Offload management of services • S3, Compute, Databases, Kubernetes, Elasticsearch, etc Focus on reducing the iteration cycle Adopt new hardware quickly • P2 – NVIDIA Tesla K80 – September 2016 • P3 – NVIDIA Tesla V100 – October 2017 Use your AWS team and partners to move quicker Amazon EC2 P3 Instances
- 58. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
- 59. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Driving data: the trillion mile challenge Data Gathering from Ordinary Drivers millions of miles Cloud Simulator billions of miles Test Cars with Professional Drivers millions of miles validation environment behavior low-res maps high-res maps
- 60. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Learn more about TRI’s AV Development Wed, November 28 CMP304 - Advancing Autonomous Vehicle Development Using Distributed Deep Learning 1:00PM – 2:00PM | Bellagio, Level 1, Grand Ballroom 2
- 61. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Other Recommended Sessions CMP304 - Advancing Autonomous Vehicle Development Using Distributed Deep Learning 1:00PM – 2:00PM | Bellagio, Level 1, Grand Ballroom 2 Wed, November 28 AMT301 – Alexa, Where’s My Car? A Test Drive of the AWS Connected Vehicle Solution 11:30PM – 12:30PM | Bellagio, Level 1, Grand Ballroom 2 AMT302 – Easy Rider: How ML, Serverless and IoT Drive Mobility as a Service 4:45PM – 5:45PM | MGM, Level 1, Grand Ballroom 113 Thurs, November 29 AMT303 – Deep Dive into the AWS Connected Vehicle Reference Solution 12:15PM – 2:30PM | Mirage, Grand Ballroom G AMT304 – Building Volkswagen Group’s Digital Ecosystem 1:00PM – 2:00PM | MGM, Level 1, Grand Ballroom 111
- 62. Thank you! © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
- 63. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Notas do Editor
- Highlight how AWS provides the resources and capabilities to enable companies of any size and in any industry to innovate and change to be digital innovators
- We know that the industry is undergoing a transformation unlike anything it has faced in the past. Driven by mega trends like Ubiquitous Connectivity, Cloud Computing, Powertrain Electrification, and the Sharing Economy But also a shift in consumer mindset – they are eschewing traditional automotive purchase reasons and focus more on experiences, and personalized interactions and the mobile revolution has created expectations that their digital lives should follow them wherever they go For the auto industry, the convergence of these factors is unlike anything we have experienced in the past – these are changes to the fundamental way the customers purchase and drive cars and forcing the entire industry to rethink their brands and business. https://venturebeat.com/2017/03/22/why-ai-will-drive-the-future-of-connected-cars-starting-now/
- In short - Every automotive company will be a technology company This is a major change to a century-old industry who’s primary focus has been on the hardware: QRD, Fuel Economy, Performance Now in addition to developing compelling, safe and efficient products, you also have to have a software focus both inside and outside of the vehicle Now, a customer will choose a vehicle based on weather it has Car Play or not
- Our role in the value chain is as an enabler – and we do this in 4 primary ways Our core IT infrastructure services of Compute, Storage, Networking, Data Base and many others – Next is a range of digital products and solutions that provide the capability to deliver advanced functionality to our customers We take this vast toolset that we have and develop reference architectures that allow customers to get started using the most secure, efficient and powerful architecture And finally, by working with other Amazon Business units and a wide variety of partners to develop automotive solutions that are market ready
- When we approach the business, our focus is on 6 core areas. The primary focus is on product solutions around Connected Vehicles, Autonomous Driving Development and Digital Customer Engagement. This is where the marketing is focused and you will see this reflected in our AWS for Automotive web site. But we also are working through our account teams on the enterprise solutions, such as applications for big data and analytics for predictive maintenance, and marketing applications; High Performance Computing for the R&D divisions and other Enterprise workloads like ERP, SAP, website platforms and call centers. Exlain product solutions means…. Connected Vehicle Services Platform Connected Consumer Initiatives – Mobile, B2C, Digital Marketing Location-based Services Alexa Voice Integration In-vehicle App Store and Payments Amazon Music, Audible, Prime Video Logistics and Prime Now Autonomous Vehicle Driving Development Machine Learning - Predictive Diagnostics Machine Learning – Targeted Offers
- So today we are delighted to be joined by three of our customers who are leading the digital transformation in the automotive industry to tell their stories of how AWS helps them. What is interesting, is that even though each company will be talking about a different area of transformation, you will hear similar themes of how AWS has enabled them to transform their entire organization to be more agile, innovative and responsive to the business and ultimately, their end customer.
- To get us started, I would like to introduce Peter Garzarella, head of SW development at Volkswagen Group
- Wrap up by inviting others to attend your session
- I would like to take you on to our journey on how we modernized our digital customer engagement platform by migrating our monolithic backend to a microservice-based platform and subsequently leveraging multiple AWS services.
- - Let us start by talking about a common use case: Can you image how many possibilties you have to configure your dream car? For example for the brand new BMW 3 series you have the following possibilities to configure your dream car. You can choose from: So from a frontend perspektiv you need on the one hand all the vehicle data to visualize it for the customer and on the other hand functionalities like a constructability check, to check if the dream car configuration of our customer is constructable.
- Within the BMW Group there existed a huge demande to get the car informations and functionalities from a central platform So that not everyone needs to take care about where to get the vehicle data from and to rebuilding commonly used functionalities Therefor we created the unified Configurator Platform that is currently used by more then 30 Applications/Frontends. As an example our Platform is used from various car configurators that are for example implemented as nativ iOS Applications or Web Frontends But our platform is also used for example for getting relevant data for AI purposes or for creating invoices
- Let us now have a look on our platform from a high level perspective We are providing a RESTFul API that exposes all necessary product data and functionalities like The constructability check / Price calucation services / or to save a customer car configuration within a virtual garage To expose the data we are frequently importing data from the BMW Group backend systems Our platform surves currently hundreds of Mio API calls per month on a world wide basis And our platform is supporting all BMW Group brands and all markets
- I would like to talk now about our journey from a monolith system to microservices And followed that about the important strategic change we did and the transition to AWS
- It‘s nowadays modern and everyone is talking about microservices. But from our view a monolithic system has also advantages: We started at the beginning with a monolithic system that allowed us to have a fast development of a first production ready MVP And we do not had the need to handle the challenges of a distributed system just at the beginning like: Data Synchronization / Debugging and logging and so on… < CLICK > Nevertheless as the monolithic system growed we were faced with the challenges a monolith provide: Small changes led to a rebuild of the complete application Implementing new requirments led to a lot of refactoring In a nutshell: The monolith became to complex and the Implementation became slow and we couldn‘t hold on to the development speed that we had at the beginning – So it was time to break up the monolith!
- At the same time as we broke up the monolith into microservice to handle the complexability, we also introduced the API first approach. The API first approach helps us to get all our stakeholders on the same page and to specify the API upfront before the actual implementation starts <CLICK> As our platform became more and more popular - new challenges came allong: How can we provide our platform on a world wide basis by having low latencies? How can we get a broader solution scope to satisfy business needs with state of the art technologies? In a nutshell: The microservices helped us to handle the complexity but it was now time to bring the microservices to next level:
- But before bringing the Microservices to next level we did in our oppinion an important strategic change! By Looking from a historical perspektiv: Many companies tried to reduce costs by outsourcing their IT. But nowadays IT becomes more and more an enabler and a strategic asset to have inhouse
- Therfor we decided to getting the IT back inhouse. In our oppinon together with the services and automation posibilities that the cloud provides today, it‘s worthwhile to evaluate if the transformation from on-prem to off-prem is feasable with inhouse effort. We did so and it was the best decision we could made! Let’s see how we did the transition to AWS:
- <go step by step through the layers> - As you can se for us it was important to have as many managed services as possible so that we can benefit 100% from the potential the cloud provides today and that we can focus on our main mission to provide new platform services for the BMW Group.
- Before doing the transition to AWS in 100% in-house effort: Our work was mainly driven from an architectural perspectiv, we described how the architecture should look like and defined the software to build Now we are taking on more on more phases from the DEV/OPS-Cycle: We take care of the complete CI/CD Pipeline We develop more and more of the software components inhouse We are doing most of the operation tasks inhouse with providing 24/7 on call So We are coming more and more in the situation of „you build / you run it“ The strategic step of getting back the IT was for now the absolut right decision. It helps to build up sustainable knowledge within the bmw group and last but not least it also led to an increase of job satisfaction. As we are now again able to do what we IT folks love – to build new solutions!
- Besides on the really important fact of getting the IT back in-house we do also have a couple of other achivments through out our transition to AWS: We can now deploy downtime free our software on a daily basis instead of having 3 major releases per year – which lead to a Reduced time to market <CLICK> The overall package of functionalities the cloud provides supports also an Agile culture: of exploration and of providing new platform functionalites faster and be prepared for any grows. <CLICK> We are now able to build solutions on state of the art technologies and are not limited any more to a given tech stack <CLICK> And last but not least: We are now able to adequately support new business opportunities like for example online sales where among others high availability is an import factor.
- Summarize by encouraging people to download the session
- Formed in January 2016 Investigated various providers, selected AWS as best fit What really matters is autonomy for people. We’re working to improve lives by giving everyone the freedom to move – whether across town or across the room. We are applying artificial intelligence to help Toyota produce cars in the future that are safer, more accessible and more environmentally friendly. We are expanding artificial intelligence technology into new applications by strengthening and refining the interaction between human and machine
- How safe is safe enough?
- We believe automated vehicle technology will help save lives. TRI has been taking a dual-path approach to automated driving, Guardian and Chauffeur modes. Guardian and Chauffeur modes are being designed to give consumers a choice. In the Guardian approach, the human driver maintains vehicle control, and the automated driving system operates in the background, monitoring for potential crash situations. It can intervene to help protect vehicle occupants when needed. Chauffeur is TRI’s version of full vehicle autonomy where all occupants are passengers as the car drives itself.
- Rich sensor suite – often have multiple, cameras, lidar, radar sensors Generate 1 TB per hour / car of data How much data is enough? https://devblogs.nvidia.com/training-self-driving-vehicles-challenge-scale/ 1 Tb/hr -> 2.2Gbit/s Netflix Ultra HD stream is ~25Mbit/s (https://help.netflix.com/en/node/306)
- How do you scale out to process all the data once you’ve collected it? Meet the demands of all potential workloads? How do you stay up to date with hardware advances? - Technology continues to change, do you want to invest in hardware that has a 3 or 5 year depreciation, but might no longer meet your needs in 2 years?
- Build: Experiment and build a promising model on small dataset CI: Make sure code base is free of defects and bugs Train and tune: Make the model work with larger datasets and optimize it Prepare a model for deployment and validate it
- Build: Experiment and build a promising model on small dataset CI: Make sure code base is free of defects and bugs Train and tune: Make the model work with larger datasets and optimize it Prepare a model for deployment and validate it Deploy model to vehicles The lower your iteration times, the more productive your researchers and developers.
- Talk about log processing pipeline
- Talk about clusters Pytorch
- Lots of services to take advantage of, lets you focus on what makes your company different Leverage others - AWS – truly are customer focused. Work with your account team to get new feature requests in, understand problems, help. ProServe F7: We knew what we wanted to do with IaC and pipelines F7 is excellent at this and accelerating our momentum while we work on the unique things to our company
- Going back to the “how safe is safe enough” question, if we assume for now that an AV must be 10 times as safe as human driving, that would mean that the fatality rate of AV must be one in 1 trillion miles. How do we get there and also prove that statistically? Testing of our prototype vehicles on public roads is certainly not enough. We would need thousands of vehicles running 24 hours and it would still take years and years to prove the safety, because we can never cover every possible traffic scenario. Therefore, we are using simulation to virtually re-create traffic situations in a computer and run our software, adding adverse conditions such as bad weather and difficult traffic pattern. We are also putting a lot of effort into gathering data from real drivers so we can train our AI.
- Sanat – we still have a lot of great automotive content remaining that I encourage you to attend.