Presentation on theme: "3D Mobile Mapping Dave Henderson Topcon Positioning Systems"— Presentation transcript:
1 3D Mobile Mapping Dave Henderson Topcon Positioning Systems National Sales Manager IP-S2 / GIS ProductsTopcon Positioning Systems
2 Considerations for an emerging technology Introduction3D Mobile MappingConsiderations for an emerging technology“What’s in it for me?”
3 Emergence of 3D Mobile Mapping Components Hardware / Software OverviewEmergence of 3D Mobile MappingComponents Hardware / SoftwareSensorsImagingContribution to information extraction for usersIt really is worth “a thousand words” (especially when it is geo-referenced)
4 Data Mining – Historical Value How much data is too much? Applications OverviewDeliverablesInteroperabilityEveryone can use the data!Data Mining – Historical ValueHow much data is too much?Applications
5 Overview - Macro Total Mapping Solution – Not from the roadway Rapid non invasive method of capturing 3D positioning and video log dataFast: Reduce weeks of data collectionToo a few hoursEfficient: High accuracy at roadway speedsSafe: Map from a vehicle– Not from the roadway
6 LIDAR – Scanner (LIght Detection And Ranging) Sensor Fusion - LIDARLIDAR – Scanner (LIght Detection And Ranging)Same as aerial LIDAR, but oriented horizontallyDrive it instead of flying itConsideration?RangeTarget ReflectivityScan Rate / Per Sec.FOV
7 Sensor FusionVarious sensors are integrated to obtain an accurate position and orientationGNSS ReceiverDelivers the position information to the systemLatitude, Longitude and AltitudeIMU (Inertial Measurement Unit)Supplies accurate attitude data for the systemRoll, Pitch and Heading informationVehicle Odometry information is obtained via external wheel speed sensorsWheel speed sensors or also known as DMI (Distance Measurement Indicator) compute the vehicles wheel rotation to aid the vehicle positioning
8 Accurate Navigation When GNSS is Obstructed Sensor FusionAccurate Navigation When GNSS is ObstructedGNSSWheelEncoderIMUAdvanced FilteringTechnologyGNSSPVAIMUFilterEncoder
9 Sensor Fusion GNSS Antenna 360° Camera IMU IP-S2 Laser Scanners Cube Mount
13 Using the Data Collection Process Visualization GIS Actionable Information
14 Command & ControlLaptop 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.
15 File Size(s) SENSOR SIZE (Mb/Min) SIZE (Mb/Hour) GNSS / Encoder / IMU Laser Scanners (SICK LMS291 x3)3.0 Mb180 MbCamera (Ladybug3)@ 2 meter distance spacing traveling at 40 mph400 Mb24,000 Mb (23.5 Gb)Image file size from camera will depend on speed being traveled when set by distance more than time
16 Workflow – Post Processing GNSS Rover DataPost Processed GNSS DataGNSS Base Data or CORS DataRaw Inertial Data (IMU)GNSS+INS Post Processing Forwards and Backward trajectory computationVehicle Odometry Data (DMI)
17 Workflow – Point Cloud & Image Generation Raw Image Data (PGR)Stitched Spherical ImagesGNSS+INS Post Processing Forwards and Backward trajectory computationPoint Cloud DataRaw LiDar Data
18 Workflow – Image Alignment / Pose Raw Image Data (PGR)Stitched Spherical ImagesPoint Cloud DataGNSS+INS Post Processing Forwards and Backward trajectory computation
33 Is the solution complete – “Out-of-the Box”? Considerations?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?
34 3D Mobile Mapping Professional Services Specifically for Pilot Project / Proof of Concept
35 Topcon Positioning Systems Dave HendersonTopcon Positioning Systems(214)
Your consent to our cookies if you continue to use this website.