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3D Mobile Mapping Dave Henderson National Sales Manager IP-S2 / GIS Products Topcon Positioning Systems Slide 2 3D Mobile Mapping Considerations for an emerging technology Whats in it for me? Introduction Slide 3 Overview Emergence of 3D Mobile Mapping Components Hardware / Software Sensors Imaging Contribution to information extraction for users It really is worth a thousand words (especially when it is geo-referenced) Slide 4 Overview Deliverables Interoperability Everyone can use the data! Data Mining Historical Value How much data is too much? Applications Slide 5 Total Mapping Solution Rapid non invasive method of capturing 3D positioning and video log data Fast: Reduce weeks of data collection Too a few hours Efficient: High accuracy at roadway speeds Safe: Map from a vehicle Not from the roadway Overview - Macro Slide 6 Sensor Fusion - LIDAR LIDAR Scanner (LIght Detection And Ranging) Same as aerial LIDAR, but oriented horizontally Drive it instead of flying it Consideration? Range Target Reflectivity Scan Rate / Per Sec. FOV Slide 7 Various sensors are integrated to obtain an accurate position and orientation GNSS Receiver Delivers the position information to the system Latitude, Longitude and Altitude IMU (Inertial Measurement Unit) Supplies accurate attitude data for the system Roll, Pitch and Heading information Vehicle Odometry information is obtained via external wheel speed sensors Wheel speed sensors or also known as DMI (Distance Measurement Indicator) compute the vehicles wheel rotation to aid the vehicle positioning Sensor Fusion Slide 8 Accurate Navigation When GNSS is Obstructed GNSS IMU Wheel Encoder Advanced Filtering Filter GNSS IMU Encoder PVA Technology Slide 9 GNSS Antenna IMU Laser Scanners 360 Camera IP-S2 Cube Mount Sensor Fusion Slide 10 Technology Sensors Slide 11 Slide 12 IP-S2 System Velodyne Scanner Slide 13 Using the Data CollectionProcessVisualizationGISActionable Information Slide 14 Laptop PC Connected via Ethernet and 1394b (FireWire) Computer is required to ensure connectivity and health of all sensors as well as for data logging purposes. Command & Control Slide 15 File Size(s) SENSORSIZE (Mb/Min)SIZE (Mb/Hour) GNSS / Encoder / IMU1.5 Mb90 Mb Laser Scanners (SICK LMS291 x3)3.0 Mb180 Mb Camera (Ladybug3) @ 2 meter distance spacing traveling at 40 mph 400 Mb 24,000 Mb (23.5 Gb) Image file size from camera will depend on speed being traveled when set by distance more than time Slide 16 Workflow Post Processing GNSS Rover Data GNSS Base Data or CORS Data Post Processed GNSS Data Raw Inertial Data (IMU) Vehicle Odometry Data (DMI) GNSS+INS Post Processing Forwards and Backward trajectory computation Slide 17 Workflow Point Cloud & Image Generation GNSS+INS Post Processing Forwards and Backward trajectory computation Raw Image Data (PGR) Raw LiDar Data Stitched Spherical Images Point Cloud Data Slide 18 Workflow Image Alignment / Pose GNSS+INS Post Processing Forwards and Backward trajectory computation Raw Image Data (PGR)Stitched Spherical Images Point Cloud Data Slide 19 Slide 20 Slide 21 Slide 22 Slide 23 Slide 24 Realistic Environment Slide 25 Slide 26 Slide 27 Deliverables GIS Shapefiles with Attributes AttributesMeasurements DBF ++ 360 o ImagesGIS DataPoint Cloud Slide 28 Deliverables Image Export Options Individual lens frames 360 spherical stitched images.jpeg format.bmp format.avi format Slide 29 Deliverables Point Cloud.LAS file format is a public file format for the interchange of LIDAR data Ascii.txt - common point cloud file format Slide 30 Point Cloud Mobile & Aerial Data Slide 31 Power Utility Mapping ROW Pole inventory / Joint Use Audit Risk Management QC Vegetation Management Infrastructure and Asset Management Utility structure location Condition Compliance Regulatory/Safety/Environmental IP-S2 Applications Slide 32 Roads / Streets / Highway Mapping 3D Surface Conditions Inventory Pavement conditions Change Detection over time Disaster response planning Railway Corridor Mapping Pipeline Mapping IP-S2 Applications Slide 33 Is the solution complete Out-of-the Box? (Hardware / Software) How compact and mobile is the system? Is the system scalable? - Add new sensors, as needed? Considerations? Slide 34 3D Mobile Mapping Professional Services Specifically for Pilot Project / Proof of Concept Slide 35 Dave Henderson Topcon Positioning Systems Dhenderson@topcon.com (214) 923-1910 http://www.topconpositioning.com/products/mapping-and-gis/mobile-mapping /