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yolo4d 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. Conclusions. 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 4D
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