354 citations · 382 across the 20 of their papers we have counts for
12 papers · 1 filter
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
Kevin Rösch, Florian Heidecker, Julian Truetsch +5
Trajectory data analysis is an essential component for highly automated driving. Complex models developed with these data predict other road users' movement and behavior patterns.…
Fast and Robust Ground Surface Estimation from LIDAR Measurements using Uniform B-Splines
Sascha Wirges, Kevin Rösch, Frank Bieder +1
We propose a fast and robust method to estimate the ground surface from LIDAR measurements on an automated vehicle. The ground surface is modeled as a UBS which is robust towards v…
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning
Danial Kamran, Tizian Engelgeh, Marvin Busch +2
Despite recent advances in reinforcement learning (RL), its application in safety critical domains like autonomous vehicles is still challenging. Although punishing RL agents for r…
Decision-Time Postponing Motion Planning for Combinatorial Uncertain Maneuvering
Ömer Şahin Taş, Felix Hauser, Christoph Stiller
Motion planning involves decision making among combinatorial maneuver variants in urban driving. A planner must consider uncertainties and associated risks of the maneuver variants…
SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation
Juncong Fei, Wenbo Chen, Philipp Heidenreich +2
3D pedestrian detection is a challenging task in automated driving because pedestrians are relatively small, frequently occluded and easily confused with narrow vertical objects. L…
Tackling Existence Probabilities of Objects with Motion Planning for Automated Urban Driving
Omer Sahin Tas, Christoph Stiller
Motion planners take uncertain information about the environment as an input. The environment information is often quite noisy and has a tendency to contain false positive object d…