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 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 LSTM