By leveraging the KITTI benchmark, you are joining a global community of researchers pushing the boundaries of what autonomous vehicles can see and do. If you'd like to get started with the data, let me know:

I can provide the specific commands or scripts to help you immediately.

Once registered, you will receive a personal download link via email. 2. Selecting Your Benchmark

Once your KITTI benchmark dataset download is complete, organizing the folder structure is critical for training scripts. Most GitHub repositories (like those for OpenPCDet or PointRCNN) expect the following structure: image_2/ (Left color images) label_2/ (Labels) calib/ (Calibration matrices) velodyne/ (LiDAR point clouds) testing/ image_2/ calib/ velodyne/ Final Tips for Success