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Research on High-Reliability Path Planning for Three-Dimensional Terrain Considering Non-Terrain Fluid Characteristics
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Zhicheng He1, Yongjie Zhu1, Yu Qiu1, Yue Liu2, Enlin Zhou1, Hao Zheng3
Automotive Engineering | 2025, 47(4) : 680 - 691
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Automotive Engineering | 2025, 47(4): 680-691
Feature Topic:Key Technologies on Intelligent and Connected Vehicles
Research on High-Reliability Path Planning for Three-Dimensional Terrain Considering Non-Terrain Fluid Characteristics
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Zhicheng He1, Yongjie Zhu1, Yu Qiu1, Yue Liu2, Enlin Zhou1, Hao Zheng3
Affiliations
  • 1 College of Mechanical and Vehicle Engineering,Hunan University,Changsha  410000
  • 2 China North Vehicle Research Institute,Beijing  100072
  • 3 Changsha Research Institute of Mining and Metallurgy Co.,Ltd.,Changsha  410000
Published: 2025-04-25 doi: 10.19562/j.chinasae.qcgc.2025.04.009
Outline
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Threedimensional terrain scenes typically possess complex and diverse environment along with jagged terrain features, which poses challenges to path planning. To address this issue, in this paper a highly reliable path planning approach under the influence of nontopographic fluid characteristics and threedimensional complex terrain is proposed. This method encompasses initial global path planning, path inspection, and replanning under 3D terrain. For the initial global path, an AHTR algorithm that combines the advantages of Hybrid A* and Theta* is proposed. This algorithm enhances the internode sampling and detection methods in accordance with the traits of the 3D terrain scene and introduces in a terrain risk assessment function.to plan a path for the vehicle that can evade rough terrain and comply with kinematic constraints. For path inspection, the path risk test function is designed based on the results of vehicle dynamics analysis considering the characteristics of nonterrestrial fluid, and the impact of nonterrestrial fluid characteristics on path planning is verified. For path replanning, an enhanced AHTR algorithm is proposed, which takes into account of both 3D terrain features and nonterrain fluid features to guarantee that the planned path can effectively avoid risks. Simulation experiments demonstrate that compared with Hybrid A* and Theta*, the intensity of ground undulation in the path planned by the AHTR algorithm is decreased by 26.54% and 49.04%, with the average pitch angle of the vehicle reduced by 44.39% and 69.40%, the path risk lowered by 26.32% and 41.67%, and the final path safety improved by 58.06% and 88.46%, which effectively ensures path reliability.

3D terrains  /  non-topographic fluid  /  path risk  /  global path planning  /  local path re-planning
Zhicheng He, Yongjie Zhu, Yu Qiu, Yue Liu, Enlin Zhou, Hao Zheng. Research on High-Reliability Path Planning for Three-Dimensional Terrain Considering Non-Terrain Fluid Characteristics[J]. Automotive Engineering, 2025 , 47 (4) : 680 -691 . DOI: 10.19562/j.chinasae.qcgc.2025.04.009
Year 2025 volume 47 Issue 4
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Article Info
doi: 10.19562/j.chinasae.qcgc.2025.04.009
  • Receive Date:2024-08-21
  • Online Date:2025-07-08
  • Published:2025-04-25
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History
  • Received:2024-08-21
  • Revised:2024-10-05
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Affiliations
    1 College of Mechanical and Vehicle Engineering,Hunan University,Changsha  410000
    2 China North Vehicle Research Institute,Beijing  100072
    3 Changsha Research Institute of Mining and Metallurgy Co.,Ltd.,Changsha  410000
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https://castjournals.cast.org.cn/joweb/qcygc/EN/10.19562/j.chinasae.qcgc.2025.04.009
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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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