YOLOv4: Hh-Speed and Precise Object Detection

yolo4dYOLO4D 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 LSTMAs expected, the YOLO4D models outperform the frame stacking models. Frame stacking encodes the temporal information only through the reshaping of inputs, while YOLO4D