yolo 4dYOLO4D is a deep learning approach that uses 4D tensors to incorporate temporal information in 3D object detection from LiDAR point clouds. It extends YOLO v2 with Convolutional LSTMCompared to the YOLOv4, the YOLOV4-5D improves the mean average precision by 4.23% on the BDD data sets and 1.68% on the KITTI data sets. Finally, by pruning