51 citations · 74 across the 4 of their papers we have counts for
4 papers
Pixel State Value Network for Combined Prediction and Planning in Interactive Environments
Sascha Rosbach, Stefan M. Leupold, Simon Großjohann +1
Automated vehicles operating in urban environments have to reliably interact with other traffic participants. Planning algorithms often utilize separate prediction modules forecast…
Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning
Sascha Rosbach, Xing Li, Simon Großjohann +2
General-purpose trajectory planning algorithms for automated driving utilize complex reward functions to perform a combined optimization of strategic, behavioral, and kinematic fea…
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving
Sascha Rosbach, Vinit James, Simon Großjohann +3
General-purpose planning algorithms for automated driving combine mission, behavior, and local motion planning. Such planning algorithms map features of the environment and driving…
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving
Sascha Rosbach, Vinit James, Simon Großjohann +2
Behavior and motion planning play an important role in automated driving. Traditionally, behavior planners instruct local motion planners with predefined behaviors. Due to the high…