YOLO4D: A Spatio-temporal Approach for Real-time Multi-object

yolo 4d YOLOv4 is a powerful and efficient object detection model that strikes a balance between speed and accuracy. Its use of unique features and bag of freebies techniques during. YOLO4D 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

yolo99, In this paper, YOLO4D is presented for Spatio-temporal Real-time 3D Multi-object detection and classification from LiDAR point clouds. Automated Driving dynamic scenarios.