Decentralized iLQR for Cooperative Trajectory Planning of Connected Autonomous Vehicles via Dual Consensus ADMM
Author:
Affiliation:
1. Division of Emerging Interdisciplinary Areas, The Hong Kong University of Science and Technology, Hong Kong SAR, China
2. HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Futian, China
Funder
Guangzhou-HKUST(GZ) Joint Funding Scheme
Project of Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10304348/10171831.pdf?arnumber=10171831
Reference39 articles.
1. Autonomous cooperative driving: A velocity-based negotiation approach for intersection crossing
2. ADMM-based parallel optimization for multi-agent collision-free model predictive control;cheng;arXiv 2101 09894,2021
3. Cooperative vehicle‐actuator system: a sequence‐based framework of cooperative intersections management
4. Distributed and Constrained H2 Control Design via System Level Synthesis and Dual Consensus ADMM
5. Cooperative receding horizon conflict resolution at traffic intersections
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