Human Detection from 4D Radar Data in Low-Visibility Field Conditions

arXiv:2404.05307v1 Announce Type: new
Abstract: Autonomous driving technology is increasingly being used on public roads and in industrial settings such as mines. While it is essential to detect pedestrians, vehicles, or other obstacles, adverse field conditions negatively affect the performance of classical sensors such as cameras or lidars. Radar, on the other hand, is a promising modality that is less affected by, e.g., dust, smoke, water mist or fog. In particular, modern 4D imaging radars provide target responses across the …

abstract arxiv autonomous autonomous driving cameras cs.cv cs.ro data detection driving human industrial low obstacles pedestrians performance public radar roads sensors technology type vehicles visibility