17 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 17 cited
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks
Daniel Niederlöhner, Michael Ulrich, Sascha Braun +5
This paper presents a method to learn the Cartesian velocity of objects using an object detection network on automotive radar data. The proposed method is self-supervised in terms…
cs.CV2022★ 1 cited
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar
Michael Ulrich, Sascha Braun, Daniel Köhler +4
This paper presents novel hybrid architectures that combine grid- and point-based processing to improve the detection performance and orientation estimation of radar-based object d…