Maneuver Planner for Automated Vehicles on Urban Scenarios
Author:
Affiliation:
1. Centre for Automation and Robotics (CSIC-UPM),Autopia program,Arganda del Rey,Spain,28500
Funder
Spanish Ministry of Science and Innovation
European Commission
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9986509/9986535/09987128.pdf?arnumber=9987128
Reference20 articles.
1. Joint Optimization of Sensing, Decision-Making and Motion-Controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach
2. A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers
3. Lanelet2: A high-definition map framework for the future of automated driving
4. Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks
5. A Grid-Based Framework for Collective Perception in Autonomous Vehicles
Cited by 2 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. Co-Optimization of Eco-Driving and Energy Management for Connected HEV/PHEVs near Signalized Intersections: A Review;Applied Sciences;2023-04-17
2. $IA(MP)^{2}$: Framework for Online Motion Planning Using Interaction-Aware Motion Predictions in Complex Driving Situations;IEEE Transactions on Intelligent Vehicles;2023
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