Motion Planning for Connected Automated Vehicles at Occluded Intersections With Infrastructure Sensors

Author:

Muller Johannes1ORCID,Strohbeck Jan1ORCID,Herrmann Martin1ORCID,Buchholz Michael1ORCID

Affiliation:

1. Institute of Measurement, Control and Microtechnology, Ulm University, Ulm, Germany

Funder

Federal Ministry of Economic Affairs and Energy of Germany within the Program “Highly and fully automated driving in demanding driving situations”

ICT4CART Project through the European Union’s Horizon 2020 Research and Innovation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Cited by 22 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. Mission based systems for connected automated mobility;Robotics and Autonomous Systems;2024-10

2. Fast Collision Probability Estimation for Automated Driving using Multi-circular Shape Approximations;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. Highway-Driving with Safe Velocity Bounds on Occluded Traffic;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Evaluating the Feasibility of Intelligent Blind Road Junction V2I Deployments;Smart Cities;2024-04-24

5. Threshold Analysis of Static and Dynamic Occlusion in Urban Areas: A Connected Automated Vehicle Perspective;Transportation Research Record: Journal of the Transportation Research Board;2024-02-25

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