A Review of Decision-Making and Planning for Autonomous Vehicles in Intersection Environments
S Chen, X Hu, J Zhao, R Wang, M Qiao - World Electric Vehicle Journal, 2024 - mdpi.com
Decision-making and planning are the core aspects of autonomous driving systems. These
factors are crucial for improving the safety, driving experience, and travel efficiency of …
factors are crucial for improving the safety, driving experience, and travel efficiency of …
Towards Cooperative Driving among Heterogeneous CAVs: A Safe Multi-Agent Reinforcement Learning Approach
With the advancement of Intelligent Transportation Systems and Vehicle-to-Everything
communication technologies, the future traffic scenario is anticipated to be a mixed …
communication technologies, the future traffic scenario is anticipated to be a mixed …
Game-Theory in Practice: Application to Motion Planning and Decision Making in an Autonomous Shuttle Bus
Autonomous techniques are becoming increasingly integrated into our daily lives. Many
advanced driver assistance systems (ADAS), including functions like lane-keeping assist …
advanced driver assistance systems (ADAS), including functions like lane-keeping assist …
Game Scheduling for Vehicle Platoons at Autonomous Intersection Accommodating Priority Passage Requests
H Hu, F Peng - IEEE Access, 2024 - ieeexplore.ieee.org
Addressing the human-centric needs in vehicle scheduling at intersections poses a
significant challenge. In this paper, we propose a game scheduling method to address the …
significant challenge. In this paper, we propose a game scheduling method to address the …
Human-Robot Collaborative Decision Method of Hexapod Robot Based on Prior Knowledge and Negotiation Strategy
B You, X Chen, J Li, L Ding, Z Dong - Available at SSRN 4730127 - papers.ssrn.com
Against the unstructured terrain environment, human drivers often rely on remote operating
patterns to accomplish tasks with robots. With the gradual improvement in robot intelligence …
patterns to accomplish tasks with robots. With the gradual improvement in robot intelligence …
[引用][C] Curriculum Reinforcement Learning for Autonomous Planning in Unprotected Left Turn Scenarios
Y Zhu, S Xu, X Chen, Y Zhao, X Dong - Unmanned Systems, 2024 - World Scientific
In complex urban scenarios like intersections without dedicated left-turn signals, the
construction of planning systems that maximize efficiency while guarantee safety has been a …
construction of planning systems that maximize efficiency while guarantee safety has been a …