.png){kind=icon}
返回
Multi-Vehicle Collaborative Planning Technology under Automatic Driving
.png){kind=icon}
OA
AI
DOI：10.3390/su16114578.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Autonomous vehicles hold the potential to significantly improve traffic efficiency and advance the development of intelligent transportation systems. With the progression of autonomous driving technology, collaborative planning among multiple vehicles in autonomous driving scenarios has emerged as a pivotal challenge in realizing intelligent transportation systems. Serving as the cornerstone of unmanned mission decision-making, collaborative motion planning algorithms have garnered increasing attention in both theoretical exploration and practical application. These methods often follow a similar paradigm: the system initially discerns the driving intentions of each vehicle, subsequently assesses the surrounding environment, engages in path-planning, and formulates specific behavioral decisions. The paper discusses trajectory prediction, game theory, following behavior, and lane merging issues within the paradigm mentioned above. After briefly introducing the background of multi-vehicle autonomous driving, it provides a detailed description of the technological prerequisites for implementing these techniques. It reviews the main algorithms in motion planning, their functionalities, and applications in road environments, as well as current and future challenges and unresolved issues.
Keyword:
autonomous driving
multi-vehicle coordination
motion planning
development prospect
期刊
IF:
3.3
论文数:
10.7W
被引数:
28.4W
机构
引用论文
分享收藏An Integrated Decision-Making Framework for Highway Autonomous Driving Using Combined Learning and Rule-Based Algorithm使用组合学习和基于规则的算法的高速公路自动驾驶集成决策框架
PREAI
分享收藏New insights into comprehensive analysis of magnesium transporter (MGT) gene family in rice (Oryza sativa L.).png)
3 Biotech
3 BiotechIF0
PREAI
分享收藏Understanding the Reaction Crystallization Process of Glycidyl Trimethyl Ammonium ChlorideCrystals
OAAI
CrystalsIF0
OAAI分享收藏
查看更多内容