Quartic Bezier Curve based Trajectory Generation for Autonomous Vehicles with Curvature and Velocity Constraints

被引:0
|
作者
Chen, Cheng [1 ,2 ]
He, Yuqing [1 ]
Bu, Chunguang [1 ]
Han, Jianda [1 ]
Zhang, Xuebo [3 ,4 ]
机构
[1] Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Nankai Univ, IRAIS, Tianjin 300071, Peoples R China
[4] Nankai Univ, Tianjin Key Lab Intelligent Robot tjKLIR, Tianjin 300071, Peoples R China
关键词
MOBILE ROBOT NAVIGATION; MOTION PLANNER;
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
To generate local trajectory between initial states and target states for autonomous vehicles, a feasible trajectory generation algorithm based on quartic Bezier curve is proposed. The problem of trajectory generation is firstly seperated into generating continuous and bounded curvature profile to shape the trajectory and generating linear velocity profile to execute the trajectory. The curvature profile generation is further converted to an optimization problem with only 3 parameters owing to the specific properties of quartic Bezier curve. Sequential quadratic programming is employed to find optimal solution with respect to specific objective function. To avoid sideslip and ensure velocity-continuity and acceleration limits, the framework of linear velocity profile generation is also proposed. A simple profile with constant acceleration is also provided as an example. Simulation results on lane keeping and changing and path following demonstrate the capability and the real-time performance of the proposed algorithm.
引用
收藏
页码:6108 / 6113
页数:6
相关论文
共 50 条
  • [21] A fingerprint feature extraction algorithm based on curvature of Bezier curve
    Yuan Huaqiang1
    2. Information Engineering Institute
    [J]. Progress in Natural Science:Materials International, 2007, (11) : 1376 - 1381
  • [22] Fingerprint feature extraction algorithm based on curvature of Bezier curve
    School of Software, Dongguan University of Technology, Dongguan 523808, China
    不详
    [J]. Prog Nat Sci, 2007, 11 (1376-1381):
  • [23] A sampling method based on curvature analysis of cubic Bezier curve
    Zhang, Zhiyi
    Zhang, Xian
    Zhang, Huayang
    [J]. JOURNAL OF COMPUTERS, 2014, 9 (03) : 595 - 600
  • [24] A new approach to local navigation for autonomous driving vehicles based on the curvature velocity method
    Lopez, J.
    Otero, C.
    Sanz, R.
    Paz, E.
    Molinos, E.
    Barea, R.
    [J]. 2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2019, : 1751 - 1757
  • [25] TRAJECTORY GENERATION FROM PATHS FOR AUTONOMOUS GROUND VEHICLES
    Lin, Letian
    Zhu, J. Jim
    [J]. PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE, DSCC2020, VOL 2, 2020,
  • [26] Minimum-Time Trajectory Generation for Wheeled Mobile Systems Using Bezier Curves with Constraints on Velocity, Acceleration and Jerk
    Loknar, Martina Benko
    Klancar, Gregor
    Blazic, Saso
    [J]. SENSORS, 2023, 23 (04)
  • [27] Model Predictive Control Based Trajectory Generation for Autonomous Vehicles - An Architectural Approach
    Nolte, Marcus
    Rose, Marcel
    Stolte, Torben
    Maurer, Markus
    [J]. 2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017), 2017, : 798 - 805
  • [28] Optimal Trajectory Generation for Autonomous Vehicles Under Centripetal Acceleration Constraints for In-lane Driving Scenarios
    Zhang, Yajia
    Sun, Hongyi
    Zhou, Jinyun
    Hu, Jiangtao
    Miao, Jinghao
    [J]. 2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC), 2019, : 3619 - 3626
  • [29] Trajectory generation for vehicles moving with constraints on a complex terrain
    Tsao, KJ
    Wang, LS
    Kuo, PT
    Chang, FR
    [J]. 2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS, 2003, : 3804 - 3808
  • [30] Trajectory generation based on rational bezier curves as clothoids
    Montes, Nicolas
    Mora, Marta C.
    Tomero, Josep
    [J]. 2007 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1-3, 2007, : 754 - +