RACP: Risk-Aware Contingency Planning with Multi-Modal Predictions
For an autonomous vehicle to operate reliably within real-world traffic scenarios, it is
imperative to assess the repercussions of its prospective actions by anticipating the …
imperative to assess the repercussions of its prospective actions by anticipating the …
Simplifying Sim-to-Real Transfer in Autonomous Driving: Coupling Autoware with the CommonRoad Motion Planning Framework
G Würsching, T Mascetta, Y Lin… - 2024 IEEE Intelligent …, 2024 - mediatum.ub.tum.de
Validating motion planning algorithms for autonomous vehicles on a real system is essential
to improve their safety in the real world. Open-source initiatives, such as Autoware, provide a …
to improve their safety in the real world. Open-source initiatives, such as Autoware, provide a …
DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba
Motion planning is a challenging task to generate safe and feasible trajectories in highly
dynamic and complex environments, forming a core capability for autonomous vehicles. In …
dynamic and complex environments, forming a core capability for autonomous vehicles. In …