crowdsourcing 3d semantic maps for vehicle cognition
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Crowdsourcing 3D Semantic Maps for Vehicle Cognition Cognition for Cars Decisions Eyes Cognition Civil Maps Cloud Bounding boxes Civil Maps In Car Vehicle Cognition Vehicle Cognition through 3D Maps Vehicle Cognition through 3D Maps


  1. Crowdsourcing 3D Semantic Maps for Vehicle Cognition

  2. Cognition for Cars Decisions Eyes Cognition Civil Maps Cloud Bounding boxes Civil Maps In Car

  3. Vehicle Cognition

  4. Vehicle Cognition through 3D Maps

  5. Vehicle Cognition through 3D Maps

  6. Vehicle Cognition through 3D Maps

  7. Vehicle Cognition through 3D Maps

  8. Vehicle Cognition through 3D Maps

  9. Vehicle Cognition through 3D Maps

  10. Vehicle Cognition through 3D Maps

  11. Vehicle Cognition through 3D Maps

  12. Vehicle Cognition through 3D Maps

  13. 3D Semantic Maps

  14. 3D Semantic Maps

  15. 3D Semantic Maps to Cognition Maps Projected into a Maps Projected onto a Camera View Maps on Earth Field of View (requires precise localizaiton)

  16. 6D Localization

  17. Sensor data -> 3D Maps & Localization 3D Semantic Map Localization Map Sensors Point Cloud

  18. Problem: GPS is not reliable or accurate ● Actual vehicle GPS traces collected in downtown San Francisco

  19. Localization Methods: ICP VS Signatures SLOW: ICP FAST: Signatures ● Point to point comparisons ● Signature to Signature comparisons ● 2 million points per second ● 1000 Signature per second ● Lots of CPU / GPU usage ● ARM Cortex is enough

  20. Synthetics : AI Training Process Training 90% Procedural Synthetic 3D modeling Sensor Data 3D Semantic AI Models Maps Real World Real Sensor Driving Data Validation 10%

  21. Crowdsourced 3D Semantic Maps

  22. Crowdsourced Maps: Client/Server Semantic Aggregation Averaging, Hyp. Testing, Derivation (Completeness) Outlier rejection Job Dispatching Local Map ... Map Auditing ... Cache

  23. Crowdsourced Maps: Supply & Demand Map Contributions Map Usage Map Aggregation Civil Maps

  24. Free Webinar Series by Civil Maps (4 Sessions) Getting Started With Sensor Data Civil Maps Github: videos & code ○ https://civilmaps.github.io/cm-hal/ Session Three: (Sensor Fusion Part 1): Thursday, May 25th 1:30 PM PDT (4:30 PM EST) Session Four: (Sensor Fusion Part 2): Thursday, June 29th 1:30 PM PDT (4:30 PM EST)

  25. Towards Mixed Reality Programmable Roads

  26. Stay in Touch: Engineering Blog on Medium: https://medium.com/@CivilMaps

  27. Contact Fabien Chraim, VP Research and Development fabien@civilmaps.com Scott Harvey, Sr. Machine Vision Engineer scott@civilmaps.com Cognition for Cars

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