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Computer Vision 3D Flow and Function AI with LiDAR
Introduction Solution overview Partner overview Architecture overview Sizing and scaling Use case validation
Use case validation
Smart Places
Multiple LiDAR sensors at an intersection Object detection LiDAR images and maps integration
Security
Create events for intrusion detection Capture person height and location Showcase tag and follow capabilities Third-party integration
Conclusions References

Smart Places

Home > Workload Solutions > Computer Vision > White Papers > Computer Vision 3D Flow and Function AI with LiDAR > Smart Places

Smart Places

  • LiDAR images and maps integration

    When viewing the raw LiDAR data, it is often difficult to identify shapes in the point cloud data with just the human eye. To improve this, it is possible to upload an image or map corresponding to the monitored scene where the LiDAR data was captured. This approach is typically easier for indoor scenes such as a room or hallway but is also possible for outdoor scenes.

    Results

    Inserting the map data was not difficult and did provide a much better experience for users that are not familiar with raw LiDAR point data:

    Figure 4. LiDAR images/maps integration example
    LiDAR images/maps integration example

    Findings

    • Adding map information gave a much better view of what is happening in the scene.
    • Plan to invest some time to practice aligning an image with the LiDAR data exactly before achieving good results.