2 citations · 3 across the 4 of their papers we have counts for
4 papers
Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation
Xavier Timoneda, Markus Herb, Fabian Duerr +2
LiDAR Semantic Segmentation is a fundamental task in autonomous driving perception consisting of associating each LiDAR point to a semantic label. Fully-supervised models have wide…
Realtime Global Optimization of a Fail-Safe Emergency Stop Maneuver for Arbitrary Electrical / Electronical Failures in Automated Driving
F. Duerr, J. Ziehn, R. Kohlhaas +3
In the event of a critical system failures in auto-mated vehicles, fail-operational or fail-safe measures provide minimum guarantees for the vehicle's performance, depending on whi…
Deep Sensor Fusion with Pyramid Fusion Networks for 3D Semantic Segmentation
Hannah Schieber, Fabian Duerr, Torsten Schoen +1
Robust environment perception for autonomous vehicles is a tremendous challenge, which makes a diverse sensor set with e.g. camera, lidar and radar crucial. In the process of under…
LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory Alignment
Fabian Duerr, Mario Pfaller, Hendrik Weigel +1
Understanding and interpreting a 3d environment is a key challenge for autonomous vehicles. Semantic segmentation of 3d point clouds combines 3d information with semantics and ther…