Auto4D: Learning to Label 4D Objects from Sequential Point Clouds

auto4d   supraslot Our method, named Auto4D, takes as input 3D measure-ments across time of a scene captured by a LiDAR sensor on top of a self-driving vehicle. Additionally, we use a pre-trained off-the-shelf 3D object detector and tracker to gen-erate the initial object trajectories. Auto4D then processes each object trajectory individually, and produces a

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