4 papers
Graph-based Motion Planning for Automated Vehicles using Multi-model Branching and Admissible Heuristics
Oliver Speidel, Jona Ruof, Klaus Dietmayer
Automated driving in urban scenarios requires efficient planning algorithms able to handle complex situations in real-time. A popular approach is to use graph-based planning method…
On-Road Motion Planning for Automated Vehicles at Ulm University
Maximilian Graf, Oliver Speidel, Jona Ruof +1
The Institute of Measurement, Control and Microtechnology at Ulm University investigates advanced driver assistance systems for decades and concentrates in large parts on autonomou…
Trajectory Planning for Automated Driving in Intersection Scenarios using Driver Models
Oliver Speidel, Maximilian Graf, Ankit Kaushik +3
Efficient trajectory planning for urban intersections is currently one of the most challenging tasks for an Autonomous Vehicle (AV). Courteous behavior towards other traffic partic…
Towards Courteous Behavior and Trajectory Planning for Automated Driving
Oliver Speidel, Maximilian Graf, Thanh Phan-Huu +1
Efficient behavior and trajectory planning is one of the major challenges for automated driving. Especially intersection scenarios are very demanding due to their complexity arisin…