CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles
Author:
Affiliation:
1. Technical University of Munich,School of Computation, Information and Technology,Garching,Germany,85748
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10186382/10186383/10186673.pdf?arnumber=10186673
Reference61 articles.
1. Sampling-Based Trajectory Repairing for Autonomous Vehicles
2. Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions
3. Falsifying Motion Plans of Autonomous Vehicles With Abstractly Specified Traffic Scenarios
4. CommonRoad: Composable benchmarks for motion planning on roads
5. Fail-Safe Motion Planning for Online Verification of Autonomous Vehicles Using Convex Optimization
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1. DrPlanner: Diagnosis and Repair of Motion Planners for Automated Vehicles Using Large Language Models;IEEE Robotics and Automation Letters;2024-10
2. CommonRoad-CARLA Interface: Bridging the Gap between Motion Planning and 3D Simulation;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
3. Simplifying Sim-to-Real Transfer in Autonomous Driving: Coupling Autoware with the CommonRoad Motion Planning Framework;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
4. Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
5. Estimating Visibility From Alternate Perspectives for Motion Planning With Occlusions;IEEE Robotics and Automation Letters;2024-06
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