yolo4dIn YOLO4D approach, the 3D LiDAR point clouds are aggregated over time as a 4D tensor; 3D space dimensions in addition to the time dimension, which is fed to a one-shot fully convolutionalAs expected, the YOLO4D models outperform the frame stacking models. Frame stacking encodes the temporal information only through the reshaping of inputs, while YOLO4D