OAK-D for 3D Point Cloud Model for Obstacle Avoidance in Indoor Settings

MustafaCayci

Hello,

I want to be able to develop an algorithm to produce a 3D point cloud model from the OAK-D to use in obstacle avoidance. I assume that OAK-D can produce such 3D point cloud and represented as n by m matrix. In this matrix, the value of each element $aij$ is equal to the depth of a point of space to the maximum depth that the sensor is able to read, $dmax$.

If so, could you please share more information on API that I may review to get started?

Thank you,

Mustafa

jakaskerl

MustafaCayci
You get a pointcloud message back. More here- https://docs.luxonis.com/software-v3/depthai/depthai-components/messages/pointcloud_data/

Thanks,
Jaka

MustafaCayci

Hello @jakaskerl Thank you. Could you please also point me to examples for PointCloudData? How do I get started?

Thank you,

Mustafa

jakaskerl

https://docs.luxonis.com/software-v3/depthai/examples/rgbd/rgbd/