I want to use deep learning to find people using a 3D lidar. The goal is to notify me if people are detected in live data comming from a SICK MRS6000 with ROS.
In the video "training and validating detectors" we see the presenters use the functrion "TrainACFobjectdetector" and it works great for the video data. I have used the MATLAB ground truth labeler on point cloud sequence data and with the "Point Cloud Temporal interpolator" automation algorithm, i can track my objects and it works extreamly well. I have recorded more data and i want to use deep learning to tell me if it's a person in the data.
How can i train AI on point cloud data?
Is it any function that is as easy to use?
Any help is appreciated!