Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions
Author:
Affiliation:
1. Division of Vehicular Systems, Department of Electrical Engineering, Linköping University, Linköping, Sweden
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/7274857/7448921/10247577.pdf?arnumber=10247577
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Uncertainty-aware Sensor Data Anomaly Detection for Autonomous Vehicles;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
2. Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
3. Homotopic Optimization for Autonomous Vehicle Maneuvering;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
4. Hierarchical Uncertainty-aware Autonomous Driving in Lane-changing Scenarios: Behavior Prediction and Motion Planning;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
5. Safe motion planner for autonomous driving based on LPV MPC and reachability analysis;Control Engineering Practice;2024-06
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