This test shows how an object can be tracked across multiple LiDAR sensors.
Results
The setup involved 2 LiDAR sensors that partially covered an indoor area.
![Tag and follow calibration example](/static/media/9198938f-8c47-5a0e-82d9-6db6a62cd3f7/DAM-6fdd062d-7415-4ec4-941e-1d8b336764a1/out/tag-follow-calibrate=GUID-E3AC5687-B704-4C62-8C0C-28FE5E8F0A47=1=en-us=Low.png)
In this scene LiDAR 01 is covering the north portion of the room and LiDAR 02 is covering the south portion of the room.
We then set the project to runtime mode where people tracking is enabled for the scene.
![Tag and follow tracking example](/static/media/9198938f-8c47-5a0e-82d9-6db6a62cd3f7/DAM-6fdd062d-7415-4ec4-941e-1d8b336764a1/out/tag-follow-merged=GUID-257A3E75-49E8-4DF1-9AF5-79F54F2E8E68=1=en-us=Low.png)
The diagram above shows that a person was identified on the left side by Lidar 01 and assigned an ID of 22. That person traveled to the south side of the room and was detected by Lidar 02, as shown on the right side, with the same ID since it is the same person.
Findings
- The Tag and Follow feature works well and is very important in multi-LiDAR setups.
- Tag and Follow was also shown to work for cars in the 4 LiDAR intersection example from the previous tests.