21 citations · 22 across the 2 of their papers we have counts for
2 papers
cs.RO2021★ 1 cited
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning
Christopher Diehl, Timo Sievernich, Martin Krüger +2
Offline reinforcement learning (RL) provides a framework for learning decision-making from offline data and therefore constitutes a promising approach for real-world applications a…
cs.CV2020★ 21 cited
Radar-based Dynamic Occupancy Grid Mapping and Object Detection
Christopher Diehl, Eduard Feicho, Alexander Schwambach +3
Environment modeling utilizing sensor data fusion and object tracking is crucial for safe automated driving. In recent years, the classical occupancy grid map approach, which assum…