354 citations · 368 across the 3 of their papers we have counts for
5 papers · 1 filter
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations
Matthias Bitzer, Reinis Cimurs, Benjamin Coors +4
Simulation plays a crucial role in the rapid development and safe deployment of autonomous vehicles. Realistic traffic agent models are indispensable for bridging the gap between s…
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
Wei Zhan, Liting Sun, Di Wang +8
Behavior-related research areas such as motion prediction/planning, representation/imitation learning, behavior modeling/generation, and algorithm testing, require support from hig…
Generating Comfortable, Safe and Comprehensible Trajectories for Automated Vehicles in Mixed Traffic
Maximilian Naumann, Martin Lauer, Christoph Stiller
While motion planning approaches for automated driving often focus on safety and mathematical optimality with respect to technical parameters, they barely consider convenience, per…
Cooperative Motion Planning for Non-Holonomic Agents with Value Iteration Networks
Eike Rehder, Maximilian Naumann, Niels Ole Salscheider +1
Cooperative motion planning is still a challenging task for robots. Recently, Value Iteration Networks (VINs) were proposed to model motion planning tasks as Neural Networks. In th…
Towards Cooperative Motion Planning for Automated Vehicles in Mixed Traffic
Maximilian Naumann, Christoph Stiller
While motion planning techniques for automated vehicles in a reactive and anticipatory manner are already widely presented, approaches to cooperative motion planning are still rema…