A neural network learns obstacle shapes as Signed Distance Functions from LiDAR, but only training-loss results are reported and the collision-safety claim is not tested.
Real-time monocular dense mapping on aerial robots using visual-inertial fusion,
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Implicit 3D scene reconstruction using deep learning towards efficient collision understanding in autonomous driving
A neural network learns obstacle shapes as Signed Distance Functions from LiDAR, but only training-loss results are reported and the collision-safety claim is not tested.