From xtrem1 repo: In the docker-compose.yaml, in the point-cloud-object-detection section, change image: basicai/xtreme1-point-cloud-object-detection to image: p4d-xtrem1-point-cloud-object-detection ...

The project’s main goal is to investigate real-time object detection and tracking of pedestrians or bicyclists using a Velodyne LiDAR Sensor. Various point-cloud-based algorithms are implemented using ...

3D point clouds are used for 3D object detection. The sparsity and noises of point clouds poses a significant challenge primarily due to difficulties in capturing LiDAR data and LiDAR sensor ...

Although point cloud-based 3D object detectors have advanced significantly in recent years, they are frequently hindered by substantial computational overheads. Lightweight model techniques, such as ...