DenoiseCP-Net jointly denoises and detects in a single LiDAR network, cutting collective-perception bandwidth by up to 23.6% in simulated adverse weather while keeping detection accuracy.
Towards Robust CNN-based Object Detection through Augmentation with Synthetic Rain Variations,
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DenoiseCP-Net: Efficient Collective Perception in Adverse Weather via Joint LiDAR-Based 3D Object Detection and Denoising
DenoiseCP-Net jointly denoises and detects in a single LiDAR network, cutting collective-perception bandwidth by up to 23.6% in simulated adverse weather while keeping detection accuracy.