research
∙
08/15/2023
Exploiting Sparsity in Automotive Radar Object Detection Networks
Having precise perception of the environment is crucial for ensuring the...
share
research
∙
05/25/2023
Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks
Architectures that first convert point clouds to a grid representation a...
research
∙
09/26/2022
DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars
We propose DeepFusion, a modular multi-modal architecture to fuse lidars...
research
∙
07/07/2022
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks
This paper presents a method to learn the Cartesian velocity of objects ...
research
∙
05/03/2022
Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar
This paper presents novel hybrid architectures that combine grid- and po...
research
∙
10/19/2020
