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In LiDAR, laser light is sent from a source (transmitter) and reflected from objects in the scene.♣️ The reflected light is detected by the system receiver and the time of flight (TOF) is used to develop a♣️ distance map of the objects in the scene.
The object-wise feature extractors project LiDAR point clouds into 2D representations♣️ and generate the object proposals using 2D networks. Then, they regress the region proposals to predict the 3D bounding boxes.
A Survey on Deep-Learning-Based LiDAR 3D Object Detection for ...
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