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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. In 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 convolutional

yolo4d, Indivisible Yolo. 1,726 likes · 62 talking about this. Add your email and phone here to receive updates and occasional texts about our meetings and....