5 citations · 8 across the 7 of their papers we have counts for
3 papers · 1 filter
Fast Lane-Level Intersection Estimation using Markov Chain Monte Carlo Sampling and B-Spline Refinement
Annika Meyer, Jonas Walter, Martin Lauer
Estimating the current scene and understanding the potential maneuvers are essential capabilities of automated vehicles. Most approaches rely heavily on the correctness of maps, bu…
Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
Danial Kamran, Carlos Fernandez Lopez, Martin Lauer +1
Reinforcement learning is nowadays a popular framework for solving different decision making problems in automated driving. However, there are still some remaining crucial challeng…
Decision-Making for Automated Vehicles Using a Hierarchical Behavior-Based Arbitration Scheme
Piotr Franciszek Orzechowski, Christoph Burger, Martin Lauer
Behavior planning and decision-making are some of the biggest challenges for highly automated systems. A fully automated vehicle (AV) is confronted with numerous tactical and strat…