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International LiDAR
Mapping Forum 2015
UAS Best Practices: How to Incorporate Data and Job Specs
Colin Snow, CEO and Founder, Drone Analyst
February 23-25, 2015
Denver, Colorado, USA
Produced by Diversified Communications
1
Helpful advice
2
Quick survey
Image courtesy of Event 38 Unmanned Systems
3
Questions / topics
 What should you consider when adding a remotely
piloted system to your practice?
 Under which application scenarios do they provide
advantages?
 What are the practical job spec limits of using a LiDAR
drone in a project – when is a project a bad fit?
 What does flying a UAS do to the price point for job
specs?
 How can UAS data be incorporated into existing data and
workflow?
 What are the data processing and data accuracy issues?
4
UAS ‘system’ considerations
1. Aircraft type (fixed wing or multirotor)
2. Sensor / payload
3. Ground control station
4. Communication systems
5. Pilot and crew
6. Regulations
• Safety
• Operational risk
• System deployment risk
• Privacy / data management
• Security
Source: Drone Analyst
5
Sample use cases under proposed rules
Inspection / Monitoring
Bridges
Oil rigs
Refineries
Cell towers
Wind turbines
Radio antenna
Surveying / Mapping
Small mines
Stockpiles
Easements
Shopping centers
Stadiums
See article: Market Opportunity Winners and Losers
Image source: Aerial Services, Inc.
6
Which UAS for what job?
Image source: DJI, 3D Robotics, Phoenix Aerial Systems
DIY / CONSUMER TURNKEY / COMMERCIAL
JOB GRADE Casual / Fast Inspection & Survey / Complex
PAYLOAD Low-res cameras / GoPro Hi-res cameras / LiDAR
GPS / IMU Aircraft GPS & IMU (1 – 3 meters) Aircraft GPS & IMU + Camera / Sensor
GPS & IMU (centimeters)
AQUISTION Limited Higher
AVG COST < $2K > $12K
ROI Fast Measured
7
Transportation corridor mapping
example*
RANGE PROJECT TIME
(PERSON DAYS)
PRICE
GROUND 100 yards 30 days (5 – 6 tripods?) ~ $220K
MOBILE 5 – 7 miles 2 – 4 days ~ $30K
MANNED
AIRCRAFT
~ 50 miles 2 day $ 25k +
UAS 1500 yards / pass 1 day $ 10K
*estimates for comparison purposes only!
8
Workflow
Specifies area,
flight time,
resolution
Specifies area,
flight time,
resolution
Site analysis,
Route and
waypoints,
Weather check
Site analysis,
Route and
waypoints,
Weather check
Map over X km2
,
Download
images and
telemetry file
Map over X km2
,
Download
images and
telemetry file
Load into
software,
Generate point-
cloud
measurements
Load into
software,
Generate point-
cloud
measurements
Send files ftp or
cloud app
Send files ftp or
cloud app
Customer
Demand
Customer
Demand
Mission
Planning
Mission
Planning
FlightFlight ProcessingProcessing DeliveryDelivery
Source: Drone Analyst
9
Data accuracy
Absolute Accuracy
Describes how much the whole point
cloud is offset in any direction, leading
to a constant error in geo-referencing.
Depends almost exclusively on a
correctly configured GNSS reference
station.
Relative Accuracy
Indicates how self-consistent the
resulting point cloud is
Source: Phoenix Aerial Systems
10
Issues affecting aerial LiDAR accuracy
 UAS are an aggregated technology and they ‘shake’ XYZ
 GPS (accuracy, down time)
 IMU (accuracy)
 Laser itself
Image source: Phoenix Aerial Systems
11
LiDAR IMU accuracy
Point Offset vs. Scan Range
12
Image source: Phoenix Aerial Systems
Combining data sets
Image source: Terrasolid
Image source: Phoenix Aerial Systems
13
A few recommended sessions
 Keynote: UAS and the Internet of Things
 GeoCue Technical Workshop: Implementing LAS V1.4 Support in Airborne
LIDAR Workflows
 LiDAR Scanning with Supplementary UAV Captured Images for Structural
Inspections
 Does Camera Quality Matter in sUAS Photogrammetry?
 Trimble Technical Workshop: Data Alignment and Automated Information
Extraction – Two Important Elements of an Efficient LiDAR Processing
Workflow
 Topcon Technical Workshop: Using Unmanned Aircraft Systems to Calculate
Stockpiles
14
Questions?
Learn more:
•Web http://droneanalyst.com
•Twitter @droneanalyst
•Email colin@droneanalyst.com
15
© 2014 Drone Analyst.
All rights reserved.
 Drone Analyst products and services mentioned herein as well as their respective logos
are trademarks of Drone Analyst.
 These materials are provided by Drone Analyst for informational purposes only, without
representation or warranty of any kind, and Drone Analyst shall not be liable for errors or
omissions with respect to the materials.
 In particular, Drone Analyst has no obligation to pursue any course of business outlined in
this document or any related presentation, or to develop or release any functionality
mentioned therein. This document, or any related presentation, and Drone Analyst
strategy and possible future developments, products, and/or research directions are all
subject to change and may be changed by Drone Analyst at any time for any reason
without notice. The information in this document is not a commitment, promise, or legal
obligation to deliver any material, research notes, or web content.
Copyright 2014 – Drone Analyst
16

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2015 International LiDAR Mapping Forum: UAS Best Practices

  • 1. International LiDAR Mapping Forum 2015 UAS Best Practices: How to Incorporate Data and Job Specs Colin Snow, CEO and Founder, Drone Analyst February 23-25, 2015 Denver, Colorado, USA Produced by Diversified Communications 1
  • 3. Quick survey Image courtesy of Event 38 Unmanned Systems 3
  • 4. Questions / topics  What should you consider when adding a remotely piloted system to your practice?  Under which application scenarios do they provide advantages?  What are the practical job spec limits of using a LiDAR drone in a project – when is a project a bad fit?  What does flying a UAS do to the price point for job specs?  How can UAS data be incorporated into existing data and workflow?  What are the data processing and data accuracy issues? 4
  • 5. UAS ‘system’ considerations 1. Aircraft type (fixed wing or multirotor) 2. Sensor / payload 3. Ground control station 4. Communication systems 5. Pilot and crew 6. Regulations • Safety • Operational risk • System deployment risk • Privacy / data management • Security Source: Drone Analyst 5
  • 6. Sample use cases under proposed rules Inspection / Monitoring Bridges Oil rigs Refineries Cell towers Wind turbines Radio antenna Surveying / Mapping Small mines Stockpiles Easements Shopping centers Stadiums See article: Market Opportunity Winners and Losers Image source: Aerial Services, Inc. 6
  • 7. Which UAS for what job? Image source: DJI, 3D Robotics, Phoenix Aerial Systems DIY / CONSUMER TURNKEY / COMMERCIAL JOB GRADE Casual / Fast Inspection & Survey / Complex PAYLOAD Low-res cameras / GoPro Hi-res cameras / LiDAR GPS / IMU Aircraft GPS & IMU (1 – 3 meters) Aircraft GPS & IMU + Camera / Sensor GPS & IMU (centimeters) AQUISTION Limited Higher AVG COST < $2K > $12K ROI Fast Measured 7
  • 8. Transportation corridor mapping example* RANGE PROJECT TIME (PERSON DAYS) PRICE GROUND 100 yards 30 days (5 – 6 tripods?) ~ $220K MOBILE 5 – 7 miles 2 – 4 days ~ $30K MANNED AIRCRAFT ~ 50 miles 2 day $ 25k + UAS 1500 yards / pass 1 day $ 10K *estimates for comparison purposes only! 8
  • 9. Workflow Specifies area, flight time, resolution Specifies area, flight time, resolution Site analysis, Route and waypoints, Weather check Site analysis, Route and waypoints, Weather check Map over X km2 , Download images and telemetry file Map over X km2 , Download images and telemetry file Load into software, Generate point- cloud measurements Load into software, Generate point- cloud measurements Send files ftp or cloud app Send files ftp or cloud app Customer Demand Customer Demand Mission Planning Mission Planning FlightFlight ProcessingProcessing DeliveryDelivery Source: Drone Analyst 9
  • 10. Data accuracy Absolute Accuracy Describes how much the whole point cloud is offset in any direction, leading to a constant error in geo-referencing. Depends almost exclusively on a correctly configured GNSS reference station. Relative Accuracy Indicates how self-consistent the resulting point cloud is Source: Phoenix Aerial Systems 10
  • 11. Issues affecting aerial LiDAR accuracy  UAS are an aggregated technology and they ‘shake’ XYZ  GPS (accuracy, down time)  IMU (accuracy)  Laser itself Image source: Phoenix Aerial Systems 11
  • 12. LiDAR IMU accuracy Point Offset vs. Scan Range 12 Image source: Phoenix Aerial Systems
  • 13. Combining data sets Image source: Terrasolid Image source: Phoenix Aerial Systems 13
  • 14. A few recommended sessions  Keynote: UAS and the Internet of Things  GeoCue Technical Workshop: Implementing LAS V1.4 Support in Airborne LIDAR Workflows  LiDAR Scanning with Supplementary UAV Captured Images for Structural Inspections  Does Camera Quality Matter in sUAS Photogrammetry?  Trimble Technical Workshop: Data Alignment and Automated Information Extraction – Two Important Elements of an Efficient LiDAR Processing Workflow  Topcon Technical Workshop: Using Unmanned Aircraft Systems to Calculate Stockpiles 14
  • 15. Questions? Learn more: •Web http://droneanalyst.com •Twitter @droneanalyst •Email colin@droneanalyst.com 15
  • 16. © 2014 Drone Analyst. All rights reserved.  Drone Analyst products and services mentioned herein as well as their respective logos are trademarks of Drone Analyst.  These materials are provided by Drone Analyst for informational purposes only, without representation or warranty of any kind, and Drone Analyst shall not be liable for errors or omissions with respect to the materials.  In particular, Drone Analyst has no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and Drone Analyst strategy and possible future developments, products, and/or research directions are all subject to change and may be changed by Drone Analyst at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, research notes, or web content. Copyright 2014 – Drone Analyst 16