NCHRP 15-44: Guidelines for the use of mobile LIDAR in ... for DOTs–E-Learning Support Guidelines...
Transcript of NCHRP 15-44: Guidelines for the use of mobile LIDAR in ... for DOTs–E-Learning Support Guidelines...
Dots for DOTs–E-Learning Support Guidelines for the Use
of Mobile LIDAR in Transportation IHEEP 2015
MPN Components, Inc.Persi Consulting
The Team• Dr. Michael Olsen (OSU), PI• Dr. Gene Roe (MPN Components)• Dr. Craig Glennie (U of Houston), Co-PI• Dr. Fred Persi (Persi Consulting)• Marcus Reedy (DEA)• Dr. David Hurwitz (OSU)
Project officially began September 2011 - Completed December 2012Released March 2013. Now in E-learning phase.
The Timeline
• Keith Williams (OSU) • Halston Tuss (OSU)• Dr. Mike Knodler (Innovative Data)• Anthony Squellati (DEA)• Matt O’Banion (OSU)• Martha Hales (Martha Hales Design)• Alisa Bolander (Bolander Consulting)
Transportation Asset Lifecycle
Today’s Agenda – NCHRP Report 748
• Guidelines document overview
• Management Section
• Technical Section
• E – Learning Web Site
• Summary
Project Objectives & Motivation• Appropriate, intelligent mobile LIDAR use
• Cost effective adoption of mobile LIDAR
• Common basis for communication between data providers and users
• An easy-to-understand management-level approach, with guidance on quality management and specification of final deliverables
Objectives & Motivation – Cont’d.
• Adequate metadata and methods documentation
• Data management, storage, persistence and compatibility to ensure long term viability of captured datasets.
• Mobile LIDAR expertise not expected, but…
• Technology agnostic, yet relevant to existing COTS
Report Organization• Management Considerations Applications Procurement considerations Workflow Implementation plan Data management and mining
• Technical Considerations Key Application Requirements MLS Overview Controlling Accuracy Technical Deliverables and Documentation Managing the Data
Key Conclusions - Literature Review and Questionnaires• Strong interest in Mobile LiDAR going forward
• Challenges with transitioning to 3D
• A lot of WHAT is being done, but not a lot of HOW and HOW WELL it is being done!
• Few best practices, guidelines available
• Mobile LIDAR is a tool in the transportation agencies’ toolbox, sometimes the best tool for a job, sometimes not.
Key Recommendations• Mobile LIDAR can be used for a lot of purposes
• Coordinate collection between divisions and with other agencies
• Determine ROI from benefit-cost & decision analyses considering asset lifecycle
• Be familiar with workflow & data management strategies
• Invest in IT and computing infrastructure for data management
• Have people responsible for implementation
Key Recommendations (Technical)• Backup data and request duplicate copies• Request point cloud and imagery with delivery• Communicate with data provider• Always obtain a calibration report• Limit geometric corrections (3D translation only!)• Use FGDC reporting standards• Perform QC checks more frequently in locations with
poor GNSS quality • Validate with independent, higher accuracy data source (Don’t use control points from acquisition as validation
points!)• Perform 3D accuracy validation
Management Section
Applicability
• Considerations of when MLS is the right tool
• Benefit/cost ratio analysis
• Encouraging cost sharing
• Defining needs for applications
• Opportunity to include multiple sensor systems
Data Collection Categories (DCC)
Dens
ity
Accuracy
Coar
se
Inte
rmed
iate
Fin
e
High Medium Low
DCC on a Continuous Scale
General Considerations for Applications
• Line of Sight• Traffic Obstacles• Problem surfaces Highly reflective at close ranges Dark Wet
• Processing algorithms in development• No intelligence/attributes with data• Data quality influenced by scanning geometry
Additional Topics
• Management Decision Flow Chart
• Relative Cost Considerations
• Procurement Considerations
• Implementation Plan
Key Recommendations
• Involve geomatics personnel in procurement• Be familiar with workflow & data management• Be generous with collection areas and times• Invest in IT and computing infrastructure• Train personnel• Coordinate collection between divisions and with
other agencies• Determine ROI from benefit cost analysis considering
other projects• Communicate with data provider
E-Learning Resources• Webinar Series Overview, Management, Technical Recorded and available on project website
• Website Interactive version of the document Webinars Wiki, User Forum, FAQ, References and more
• E-Learning Modules 5 interactive modules, hosted and accessed via project
website
Technical Section
GNSS
Scanner(s)
IMU\INS
DMI
Camera(s)
Typical MLS components
Interface and storage
Factors Affecting Accuracy
• Positioning Errors
• IMU Attitude Errors
• Laser Scanner Errors
• Boresighting Errors
• Offset Errors (Lever-Arm)
Data Management Concept
Data Management: ConsiderationsMajor Considerations Key point
Sequential / traceable work process Eliminate loops in work process
Complete content / coverage Have (& not need) is preferable
Interoperability Conversion losses
Evolution (HW / SW, formats) Avoid proprietary formats
Storage & network Important to get right, can be costly
File sizes & compression What counts is # bits per point!
Transfer times Often overlooked, but important
Accessibility & security Involve IT department if necessary
Integrity Cannot rely on hardware or OS
Archival Significant effort to maintain
Key Recommendations (Technical)• Backup data and request duplicate copies• Request point cloud and imagery with delivery• Communicate with data provider• Always obtain a calibration report• Limit geometric corrections (3D translation only!)• Use FGDC reporting standards• Perform QC checks more frequently in locations with
poor GNSS quality • Validate with independent, higher accuracy data source (Don’t use control points from acquisition as validation
points!)• Perform 3D accuracy validation
Webinar 1 - Overview
• Project Objectives and Motivation• Establish Baseline• Management Considerations Applications Level of Detail Decision Flow Chart Benefit\Cost Implementation Plan
• Technical Considerations Factors Affecting Accuracy Data Management Deliverables and Documentation
Webinar #2 - Management
• Guidelines document overview
• Management Considerations Applications Procurement considerations Workflow Implementation plan Data management and mining
• Summary
Webinar #3
• Guidelines document overview
• Technical Considerations Key Application Requirements MLS Overview Controlling Accuracy Technical Deliverables and Documentation Managing the Data
• Summary
E-learning Modules
• Overview
• Technology
• Procurement
• Data Management
• Quality Control
Transportation Asset Lifecycle
Questions ?
Contact InformationMichael OlsenOregon State [email protected]