Platoon of Autonomous Vehicles with Rear-End Collision Avoidance Through Time-Optimal Path-Constrained Trajectory Planning

被引:0
|
作者
Shen, Peiyao [1 ,2 ]
Zou, Hengfei [1 ,2 ]
Zhang, Xuebo [1 ,2 ]
Li, Yongfu [3 ]
Fang, Yongchun [1 ,2 ]
机构
[1] Nankai Univ, Inst Robot & Automat Informat Syst, Tianjin 300071, Peoples R China
[2] Nankai Univ, Tianjin Key Lab Intelligent Robot, Tianjin 300071, Peoples R China
[3] Chongqing Univ Posts & Telecommun, Ctr Automot Elect & Embedded Syst, Chongqing 400065, Peoples R China
基金
中国国家自然科学基金;
关键词
Time-optimal path-constrained trajectory planning; Automatic platoon; Rear-end collision avoidance; ROBOTIC MANIPULATORS; SPECIFIED PATHS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper focuses on the minimum-time trajectory planning for a platoon of autonomous vehicles with rear-end collision avoidance along a given path under velocity and acceleration constraints. Specifically, with the aid of time-optimal path-constrained trajectory planning (TOPCTP) techniques, we present a trajectory planning algorithm to generate time-optimal velocity profiles, which guarantees the rear-end collision avoidance and satisfies velocity and acceleration constraints for the head and follower vehicles in this platoon. For the head vehicle, TOPCTP techniques are directly used to generate a time-optimal velocity profile. For the follower vehicle, a safety point on the given path is first computed to guarantee that the rear-end collision is avoided. Then, towards the safety point, TOPCTP techniques are again used to generate a time-optimal velocity profile of the follower vehicle along the given path under velocity and acceleration constraints. Simulation results on a platoon of nonholonomic vehicles are provided to verify the effectiveness of the presented algorithm.
引用
收藏
页码:232 / 237
页数:6
相关论文
共 50 条
  • [31] Near time-optimal constrained trajectory planning on outdoor terrain
    Kobilarov, MB
    Sukhatme, GS
    [J]. 2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-4, 2005, : 1821 - 1828
  • [32] Time-optimal trajectory planning of manipulator with simultaneously searching the optimal path
    Yu, Xiuli
    Dong, Mingshuai
    Yin, Weimin
    [J]. COMPUTER COMMUNICATIONS, 2022, 181 : 446 - 453
  • [33] Digital twin empowered cooperative trajectory planning of platoon vehicles for collision avoidance with unexpected obstacles
    Hao Du
    Supeng Leng
    Jianhua He
    Kai Xiong
    Longyu Zhou
    [J]. Digital Communications and Networks, 2024, 10 (06) : 1666 - 1676
  • [34] Digital twin empowered cooperative trajectory planning of platoon vehicles for collision avoidance with unexpected obstacles
    Du, Hao
    Leng, Supeng
    He, Jianhua
    Xiong, Kai
    Zhou, Longyu
    [J]. Digital Communications and Networks, 2024, 10 (06) : 1666 - 1676
  • [35] Bezier curve-based trajectory planning for autonomous vehicles with collision avoidance
    Zheng, Ling
    Zeng, Pengyun
    Yang, Wei
    Li, Yinong
    Zhan, Zhenfei
    [J]. IET INTELLIGENT TRANSPORT SYSTEMS, 2020, 14 (13) : 1882 - 1891
  • [36] Killer Tailgating: Recommendation of Traveling Intervals between Consecutive Motor Vehicles for Rear-end Collision Avoidance
    Wang, Yong-gang
    Chen, Kuan-min
    Hu, Li-wei
    [J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2012, 37 (03) : 619 - 630
  • [37] A new strategy for rear-end collision avoidance via autonomous steering and differential braking in highway driving
    Cui, Qingjia
    Ding, Rongjun
    Wu, Xiaojian
    Zhou, Bing
    [J]. VEHICLE SYSTEM DYNAMICS, 2020, 58 (06) : 955 - 986
  • [38] Killer Tailgating: Recommendation of Traveling Intervals between Consecutive Motor Vehicles for Rear-end Collision Avoidance
    Yong-gang Wang
    Kuan-min Chen
    Li-wei Hu
    [J]. Arabian Journal for Science and Engineering, 2012, 37 : 619 - 630
  • [39] Time-optimal motion planning of autonomous vehicles in the presence of obstacles
    Sadegh, Nader
    [J]. 2008 AMERICAN CONTROL CONFERENCE, VOLS 1-12, 2008, : 1830 - 1835
  • [40] Review of Collision Avoidance and Path Planning Algorithms Used in Autonomous Underwater Vehicles
    Kot, Rafal
    [J]. ELECTRONICS, 2022, 11 (15)