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Trajectory Planning for Autonomous Vehicles Considering Complex Terrains and Obstacle Scales
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Congshuai Guo, Hui Liu, Shida Nie, Yingjie Song, Yujia Xie, Fawang Zhang
Automotive Engineering | 2025, 47(4) : 645 - 657
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Automotive Engineering | 2025, 47(4): 645-657
Feature Topic:Key Technologies on Intelligent and Connected Vehicles
Trajectory Planning for Autonomous Vehicles Considering Complex Terrains and Obstacle Scales
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Congshuai Guo, Hui Liu, Shida Nie, Yingjie Song, Yujia Xie, Fawang Zhang
Affiliations
  • School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081
Published: 2025-04-25 doi: 10.19562/j.chinasae.qcgc.2025.04.006
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Unstructured road often has uneven surface and varying obstacle sizes. Neglecting the uneven terrain and handling obstacles improperly can lead to an imbalance between vehicle safety and travel efficiency. To cope with this challenge, in this paper a trajectory planning method that considers complex terrain and obstacle scales (TOTP) for unstructured road is proposed. Firstly, the trajectoryplanning framework for unstructured road is established based on vehicle passability analysis, to determine the optimal travel pattern. Then, an operational risk field is established based on road roughness and obstacle's size information. In addition, considering both operational risk and travel efficiency, an obstacle avoidance path planning method based on dynamic programming and an obstacle crossing path planning method based on improved A* are proposed. Furthermore, based on vehicle stability analysis, a speed planning method considering terrain constraints is proposed. Finally, realworld experiments are conducted, and the experimental results show that under unstructured road conditions, the trajectory planning method proposed in this paper increases the average vehicle speed by 15.8%, with the average absolute pitch angle and average absolute roll angle reduced by 68.1% and 73.6% respectively. This method can effectively coordinate the safety and efficiency of vehicle operation, demonstrating good generalization and meeting the requirements of realtime performance.

unstructured road  /  trajectory planning  /  path planning  /  risk filed  /  speed planning
Congshuai Guo, Hui Liu, Shida Nie, Yingjie Song, Yujia Xie, Fawang Zhang. Trajectory Planning for Autonomous Vehicles Considering Complex Terrains and Obstacle Scales[J]. Automotive Engineering, 2025 , 47 (4) : 645 -657 . DOI: 10.19562/j.chinasae.qcgc.2025.04.006
Year 2025 volume 47 Issue 4
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Article Info
doi: 10.19562/j.chinasae.qcgc.2025.04.006
  • Receive Date:2024-06-02
  • Online Date:2025-07-08
  • Published:2025-04-25
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  • Received:2024-06-02
  • Revised:2024-09-14
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    School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081
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https://castjournals.cast.org.cn/joweb/qcygc/EN/10.19562/j.chinasae.qcgc.2025.04.006
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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
genus
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Number of
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占总种数比例
Percentage 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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