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Spatio-Temporal Unified Planning Method for Intelligent Vehicles on Structured Road
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Jie Hu1, 2, 3, Jiachen Zheng1, 2, 3, Silong Zhou1, 2, 3, Wenlong Zhao1, 2, 3, Zhiling Zhang1, 2, 3, Maojia Yao1, 2, 3
Automotive Engineering | 2025, 47(5) : 820 - 828
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Automotive Engineering | 2025, 47(5): 820-828
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Spatio-Temporal Unified Planning Method for Intelligent Vehicles on Structured Road
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Jie Hu1, 2, 3, Jiachen Zheng1, 2, 3, Silong Zhou1, 2, 3, Wenlong Zhao1, 2, 3, Zhiling Zhang1, 2, 3, Maojia Yao1, 2, 3
Affiliations
  • 1 Wuhan University of Technology,Hubei Key Laboratory of Modern Auto Parts Technology,Wuhan 430070
  • 2 Wuhan University of Technology,Auto Parts Technology Hubei Collaborative Innovation Center,Wuhan 430070
  • 3 Hubei Technology Research Center of New Energy and Intelligent Connected Vehicle Engineering,Wuhan 430070
Published: 2025-05-25 doi: 10.19562/j.chinasae.qcgc.2025.05.003
Outline
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For the problem that the spatiotemporal separation trajectory planning method used in autonomous vehicles is prone to insufficient vehicle flexibility, and even cannot generate feasible trajectories under complex working conditions, while the existing spatiotemporal unified trajectory planning method is difficult to meet the requirements of structured road application, a spatiotemporal unified planning method based on dynamic programming and numerical optimization algorithm is proposed. Firstly, the spatiotemporal unified coarse trajectory is generated by dynamic programming algorithm in Frenet coordinate system. In the process, deterministic sampling method is used to expand the child nodes. Then, taking the coarse trajectory as reference, the feasible spatiotemporal corridor is constructed in Cartesian coordinate system, and the NMPC optimization model is established to generate the final trajectory. Finally, the algorithm is verified by simulation. The results show that the proposed algorism has good adaptability to structured road, and can better balance the requirements of traffic efficiency, trajectory comfort and time consumption than other spatiotemporal unified algorithms.

spatio-temporal unified planning  /  dynamic planning  /  deterministic sampling  /  feasible spatio-temporal corridor  /  NMPC optimization
Jie Hu, Jiachen Zheng, Silong Zhou, Wenlong Zhao, Zhiling Zhang, Maojia Yao. Spatio-Temporal Unified Planning Method for Intelligent Vehicles on Structured Road[J]. Automotive Engineering, 2025 , 47 (5) : 820 -828 . DOI: 10.19562/j.chinasae.qcgc.2025.05.003
Year 2025 volume 47 Issue 5
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Article Info
doi: 10.19562/j.chinasae.qcgc.2025.05.003
  • Receive Date:2024-10-16
  • Online Date:2025-07-08
  • Published:2025-05-25
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  • Received:2024-10-16
  • Revised:2024-12-10
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Affiliations
    1 Wuhan University of Technology,Hubei Key Laboratory of Modern Auto Parts Technology,Wuhan 430070
    2 Wuhan University of Technology,Auto Parts Technology Hubei Collaborative Innovation Center,Wuhan 430070
    3 Hubei Technology Research Center of New Energy and Intelligent Connected Vehicle Engineering,Wuhan 430070
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https://castjournals.cast.org.cn/joweb/qcygc/EN/10.19562/j.chinasae.qcgc.2025.05.003
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表12种不同金属材料的力学参数

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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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