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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

  • Multiple LiDAR sensors at an intersection

    This test examined scenarios where more than one LiDAR sensor is used to map a scene. In particular, our scenario used data from four sensors that cover a view of each road at an intersection forming a 360-degree view of the scene. These four sensors are fused together to form a highly accurate 3D view of the intersection.

    Results

    We found it was possible to overlay four different simulated streams using the SENSR application to present a full view of the entire intersection:

    Figure 2. Multiple LiDAR sensor example
    Multiple LiDAR sensor example

    Findings

    • The result was excellent producing a full 360-degree view of the intersection.
    • Objects in the scene were seamlessly detected while moving from one LiDAR sensor coverage area to another.
    • The calibration was challenging for a novice user. It is a great benefit when users are familiar with the topography of a scene so that they can more easily fuse the data from different LiDAR sensors into a single visual output.