yolo4dAs expected, the YOLO4D models outperform the frame stacking models. Frame stacking encodes the temporal information only through the reshaping of inputs, while YOLO4DConclusions. In this work, YOLO4D is proposed for Spatio-temporal Real-time 3D Multi-object detection and classification from LiDAR point clouds, where the inputs are 4D