NCHRP 15-44: Guidelines for the use of mobile LIDAR in ... for DOTs–E-Learning Support Guidelines for the Use of Mobile LIDAR in Transportation IHEEP 2015 MPN Components, Inc. Persi
43
Dots for DOTs–E-Learning Support Guidelines for the Use of Mobile LIDAR in Transportation IHEEP 2015 MPN Components, Inc. Persi Consulting
Dots for DOTs–E-Learning Support Guidelines for the Use
of Mobile LIDAR in Transportation IHEEP 2015
MPN Components, Inc.Persi Consulting
Presenter
Presentation Notes
The recently completed NCHRP 15-44 Guidelines project is aimed at helping transportation agencies maximize their use of mobile LIDAR for a wide variety of transportation applications.
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)
Presenter
Presentation Notes
The work was completed by a diverse team with extensive experience in transportation, geospatial data acquisition, geomatics, data management, hardware and software
Transportation Asset Lifecycle
Presenter
Presentation Notes
Introducing the BIG Picture concept of how 3D technologies can be leveraged to better manage the transportation asset lifecycle
Today’s Agenda – NCHRP Report 748
• Guidelines document overview
• Management Section
• Technical Section
• E – Learning Web Site
• Summary
Presenter
Presentation Notes
Stress the division of the Guidelines into 2 sections – management and technical
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
Presenter
Presentation Notes
Objectives Promote the appropriate and intelligent use of mobile LIDAR in transportation applications, Assist transportation agencies with the cost effective adoption of mobile LIDAR by lowering the risk of establishing this transformative 3D technology as standard operating procedure, Establish a common basis for communication between data providers and users in transportation agencies. In the case where a transportation agency will be collecting their own data, these guidelines will help communication between the providers and the users of the data. Develop an easy-to-understand management-level approach, with guidance on quality management and specification of final deliverables, Establish that the data provider is to deliver adequate metadata and documentation of the methods used to verify the project results such that an independent, 3rd party can duplicate the results, and Provide recommendations on data management, storage, persistence and compatibility to ensure long term viability of captured datasets.
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
Presenter
Presentation Notes
Will not require DOT procurement personnel to become mobile LIDAR experts Guidelines will be independent of current state-of-the-art in technology in order to avoid obsolescence, but be relevant to existing COTS technology Provide recommendations on data management - storage, persistence and compatibility to ensure long term viability of captured datasets To promote the appropriate and intelligent use of mobile LIDAR in transportation applications To assist transportation agencies with the cost effective adoption of mobile LIDAR by lowering the risk of establishing this disruptive, 3D technology as standard operating procedure
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.
Presenter
Presentation Notes
For additional extensive documentation and information see the report. Generally, there needs to be more (and more thorough) documentation of research efforts and project results.
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
Presenter
Presentation Notes
Key recommendations in the guidelines. Recommendations are highlighted throughout the document to make them easier to find.
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
Presenter
Presentation Notes
These are recommendations for the technical staff to avoid some of the common pitfalls and maximize the agency’s return with MLS use.
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
Presenter
Presentation Notes
The Management section will focus less on the details of the technology or theory and more on the application of MLS to a wide set of projects. MLS is not a panacea. Although very powerful, it can’t do everything!
Presenter
Presentation Notes
These are the major application categories where MLS can be used. It covers virtually all of the major transportation agency divisions. That is what makes this technology so potentially valuable. The same dataset can be used throughout the entire agency.
Presenter
Presentation Notes
These are the subcategories providing additional detail on specific applications.
Data Collection Categories (DCC)
Dens
ity
Accuracy
Coar
se
Inte
rmed
iate
Fin
e
High Medium Low
Presenter
Presentation Notes
This is the core concept of the proposed MLS Guidelines – a 3 x 3 matrix, creating 9 categories on a continuous scale from low to medium to high for both location accuracy and the density of point coverage for an object of interest. We have termed this DCC – or data collection categories. It is important to note that the Guidelines are performance based as opposed to being prescriptive like most, if not all of the other Guidelines. The responsibility for selecting the methodology required to achieve the desired results is left up to the data collection group. In the end they have to certify that they have achieved the desired DCC.
DCC on a Continuous Scale
Presenter
Presentation Notes
This slide provides a mapping of applications into the LOD matrix Red italics mean that network (i.e. in a georeferenced coordinate system) accuracies can be relaxed from local accuracy requirements.
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
Presenter
Presentation Notes
These are some key issues that need to be considered when considering the use of MLS. There are more specifics per application in the Guidelines.
Presenter
Presentation Notes
Once the final deliverables are created they can be packaged by someone who is just learning the ropes.
Additional Topics
• Management Decision Flow Chart
• Relative Cost Considerations
• Procurement Considerations
• Implementation Plan
Presenter
Presentation Notes
Summarize next 3 slides plus cost table
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
Presenter
Presentation Notes
Key recommendations in the guidelines. Recommendations are highlighted throughout the document to make them easier to find.
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
Presenter
Presentation Notes
Switching gears we now move into the technical section of the presentation
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)
Presenter
Presentation Notes
Positioning GNSS Accuracy, Difficult to Quantify Because it is Site Dependent Rule of Thumb (Good Coverage) 2 cm + 1 ppm H/V ( < 30 km) IMU Accuracy of IMU Directly Effects Georeferencing of Points 2nd Order Effect on Positioning Accuracy (GNSS bridging) Laser Scanner Ranging Error (Timing) Angular Error (Two Components) Encoder Accuracy Boresight Calibration Errors Software Beginning to Emerge to Estimate This Error Concern is Stability of Parameters Lever Arm Offset Errors Physical Origin Of Systems Different Offset Difficult to Observe Through Calibration Usually smallest error source and stable
Data Management Concept
Presenter
Presentation Notes
This is the ideal solution. In most cases this is not being achieved, but it is desired in order to maximize the return on investment in geospatial data.
Data Management: ConsiderationsMajor Considerations Key point
Sequential / traceable work process Eliminate loops in work process
Complete content / coverage Have (& not need) is preferable
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
Presenter
Presentation Notes
Do reiterate the point of locking the fundamental data at some point in the process so it doesn’t change.
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
Presenter
Presentation Notes
These are recommendations for the technical staff to avoid some of the common pitfalls and maximize the agency’s return with MLS use.
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
Presenter
Presentation Notes
The technology is there to more cost effectively manage the lifecycle of transportation assets. MLS is a key technology enabler in that process. We trust that these Guidelines will be of value to transportation agencies as they transition from 2D paper-based workflows to 3D models. We thank you for the opportunity to contribute to this process. Please let us know if we can be of any further help.
