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3D Mobile Mapping Dave Henderson National Sales Manager IP-S2 / GIS Products Topcon Positioning Systems.

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Presentation on theme: "3D Mobile Mapping Dave Henderson National Sales Manager IP-S2 / GIS Products Topcon Positioning Systems."— Presentation transcript:

1 3D Mobile Mapping Dave Henderson National Sales Manager IP-S2 / GIS Products Topcon Positioning Systems

2 3D Mobile Mapping Considerations for an emerging technology “What’s in it for me?” Introduction

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)

4 Overview  Deliverables  Interoperability – Everyone can use the data!  Data Mining – Historical Value  How much data is too much?  Applications

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

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

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

8 Accurate Navigation When GNSS is Obstructed GNSS IMU Wheel Encoder Advanced Filtering Filter GNSS IMU Encoder PVA Technology

9 GNSS Antenna IMU Laser Scanners 360° Camera IP-S2 Cube Mount Sensor Fusion

10 Technology – Sensors

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12 IP-S2 System Velodyne Scanner

13 Using the Data CollectionProcessVisualizationGISActionable Information

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

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 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

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

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

18 Workflow – Image Alignment / Pose GNSS+INS Post Processing Forwards and Backward trajectory computation Raw Image Data (PGR)Stitched Spherical Images Point Cloud Data

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24 Realistic Environment

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27 Deliverables GIS Shapefiles with Attributes AttributesMeasurements DBF o ImagesGIS DataPoint Cloud

28 Deliverables Image Export Options Individual lens frames 360° spherical stitched images.jpeg format.bmp format.avi format

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

30 Point Cloud – Mobile & Aerial Data

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

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

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?

34 3D Mobile Mapping Professional Services  Specifically for Pilot Project / Proof of Concept

35 Dave Henderson Topcon Positioning Systems (214) /


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