yolo4dA COMPREHENSIVE REVIEW OF YOLO: FROM YOLOV1 TO YOLOV8 AND BEYOND UNDER REVIEW IN ACM COMPUTING SURVEYS Juan R. Terven CICATA-Qro Instituto PolitecnicoYOLO4D 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 LSTM