BoostRad: Enhancing Object Detection by Boosting Radar Reflections

arXiv:2404.17861v1 Announce Type: new
Abstract: Automotive radars have an important role in autonomous driving systems. The main challenge in automotive radar detection is the radar's wide point spread function (PSF) in the angular domain that causes blurriness and clutter in the radar image. Numerous studies suggest employing an 'end-to-end' learning strategy using a Deep Neural Network (DNN) to directly detect objects from radar images. This approach implicitly addresses the PSF's impact on objects of interest. In this paper, we propose …

abstract angular arxiv automotive autonomous autonomous driving autonomous driving systems boosting challenge cs.cv detection domain driving function image object psf radar reflections role strategy studies systems type