planningcollectionprocessingquality controldeliverables mobile lidar best practices
TRANSCRIPT
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Planning
Collection
Processing
Quality Control
Deliverables
Mobile LiDAR Best Practices
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- Planning
- Panel and Validation Point Spacing and Placement
- (Dependent on road type, conditions & req’d accuracy)- (Between 500 and 2500 feet)
- GPS Conditions (avoid outages & poor DOP)
- Traffic Volumes (avoid rush hours)- Plan Travel/Collection Routes- Plan GPS Base Location(s)
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- Collection
- Blocker Vehicle or Not- Vehicle Calibration / IMU Wake-Up- Follow Travel/Collection Routes in Google- Earth- Speed (panel sizes/end product)- Avoid Stop and Go- Limit Collection Routes to Manageable Lengths/File Sizes
(within 10 to 20 miles)- Use base station within 5 to 7 miles of project- Survey Control
- VRS for Horizontal & Digital Level for Vertical
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- Processing- Reduce/Localize Control- PosPac – GPS Trajectory- Register Trajectory, Point Clouds, Cameras
to Final Panel Control- May use some validation points for
registration- May use cloud to cloud registration in
some areas
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- Quality Control
- LiDAR Processing Software- Run Surface Confidence Check (Point Cloud to
Validation Points) / RMSE Report- May Constrain to Validation Points if Needed
- Client Software- Geppak, AutoCad, TopoDOT, Geocue
- Run 0.10’ contours on surface- Compare Original Point Cloud Contours to Point Grid
Contours to Point Grid + 3D Breaklines Contours- Compare to Aerial or Other Avail. Line Work
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Deliverables - Uses for 3D Point Cloud Data…
Detailed As-Built InformationBasis for DesignTopographic MappingPavement DTMGIS Feature InventoriesChange Detection (Mesh to Point Cloud Comp)Volume Surveys2D or 3D Mapping
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Keys to a Successful Project
• Determine the Level of Detail• Determine the Accuracy of the Primary Delivery• Collect once – use many– Fidelity of the data during collection– Archive Everything
• Know the Client’s 3D aptitude– IT Infrastructure (can their computers handle it)– Personnel– End User (is it an engineer or a dozer operator)