Web: http://arxiv.org/abs/2206.08171

June 17, 2022, 1:13 a.m. | Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya

cs.CV updates on arXiv.org arxiv.org

Unlike RGB cameras that use visible light bands (384$\sim$769 THz) and Lidar
that use infrared bands (361$\sim$331 THz), Radars use relatively longer
wavelength radio bands (77$\sim$81 GHz), resulting in robust measurements in
adverse weathers. Unfortunately, existing Radar datasets only contain a
relatively small number of samples compared to the existing camera and Lidar
datasets. This may hinder the development of sophisticated data-driven deep
learning techniques for Radar-based perception. Moreover, most of the existing
Radar datasets only provide 3D Radar tensor …

arxiv autonomous autonomous driving benchmark cv dataset detection radar weather

More from arxiv.org / cs.CV updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY