Hi,
We are using OAK-D for autonomous driving project. and we have some issues when we are verifying its functions of OAK-D.
Below is the issues what we met so far.
Diagonal distance error (White Line OAK-D / Red Line 2D Lidar in the picture below)
==> It is one of the critical issue we met.
Front wall distance error
=> back-and-forth shaking errorDistance measurement error
==> Error in 1 meter standard
Actual distance | Measurement result | Error
0.5m | 0.4m | -0.1m
1.0m | 1.0m | 0.0m
1.5m | 1.6m | +0.1m
2.0m | 2.2m | +0.2mOptimal code required for ROS2
==> we are using below three repository for our project now. Could you recommend us for our project. Below two is the function we are using.
first: Convert to 2D Depth and use
second: Only depth data required. so please share us how to use depth info without its AI function.
<repository we are using now>
https://github.com/luxonis/depthai-core
https://github.com/luxonis/depthai-ros
https://github.com/luxonis/depthai-ros-examples
Best regards,
Ryan.