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Trajectory Planning Based on an Improved Three-Element Obstacle Avoidance Model
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Changjun LIU1, Yuelong YE2, Chun YUAN1
Chinese Journal of Automotive Engineering | 2024, 14(6) : 947 - 958
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Chinese Journal of Automotive Engineering | 2024, 14(6): 947-958
Inteligent & Connected Technologies Section/Editor in Chief: GAO Zhenhai
Trajectory Planning Based on an Improved Three-Element Obstacle Avoidance Model
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Changjun LIU1, Yuelong YE2, Chun YUAN1
Affiliations
  • 1 Key Laboratory of Advanced Manufacturing Technology of Auto Parts, Ministry of Education Chongqing University of Technology Chongqing 400054 China
  • 2 Engineering Center of Mechanical Testing, Ministry of Education Chongqing University of Technology Chongqing 400054 China
doi: 10.3969/j.issn.2095-1469.2024.06.03
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A geometric obstacle avoidance model is proposed for traffic environments with dynamic obstacles, which can describe the relationship between vehicle and obstacle movements. By decomposing the spatial distance between the vehicle and the obstacle into two directional components and incorporating their relative speed, three key elements are obtained. Based on these elements, an improved obstacle avoidance model is developed. Using the Model Predictive Control (MPC) principle, the discrete vehicle kinematics model is employed as the predictive model. The objective function and constraints are constructed by adopting the Frenet coordinate system and considering factors such as road boundaries, the vehicle's mechanical structure, driving safety and comfort. Finally, a nonlinear programming problem is established and solved. In this paper, the SF5 is used as the experimental vehicle, with hardware and sensors installed to build an autonomous driving platform. A trajectory planning algorithm was deployed on a ROS and Matlab/Simulinkbased software platform for realworld vehicle testing. The results show that this method not only ensures smooth obstacle avoidance, but also produces a reasonable and comfortable driving path.

autonomous driving  /  model predictive control  /  trajectory planning  /  co-simulation  /  real car experiment
Changjun LIU, Yuelong YE, Chun YUAN. Trajectory Planning Based on an Improved Three-Element Obstacle Avoidance Model[J]. Chinese Journal of Automotive Engineering, 2024 , 14 (6) : 947 -958 . DOI: 10.3969/j.issn.2095-1469.2024.06.03
Year 2024 volume 14 Issue 6
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Article Info
doi: 10.3969/j.issn.2095-1469.2024.06.03
  • Receive Date:2023-07-30
  • Online Date:2025-07-20
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  • Received:2023-07-30
  • Revised:2023-09-26
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Affiliations
    1 Key Laboratory of Advanced Manufacturing Technology of Auto Parts, Ministry of Education Chongqing University of Technology Chongqing 400054 China
    2 Engineering Center of Mechanical Testing, Ministry of Education Chongqing University of Technology Chongqing 400054 China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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