148 citations · 350 across the 12 of their papers we have counts for
3 papers · 1 filter
UNIFY: Multi-Belief Bayesian Grid Framework based on Automotive Radar
Stefan Haag, Bharanidhar Duraisamy, Daniel Pfrommer +3
Grid maps are widely established for the representation of static objects in robotics and automotive applications. Though, incorporating velocity information is still widely examin…
RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications
Ole Schumann, Markus Hahn, Nicolas Scheiner +4
A new automotive radar data set with measurements and point-wise annotations from more than four hours of driving is presented. Data provided by four series radar sensors mounted o…
Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data
Markus Horn, Ole Schumann, Markus Hahn +2
A complete overview of the surrounding vehicle environment is important for driver assistance systems and highly autonomous driving. Fusing results of multiple sensor types like ca…