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Research Status of Autonomous Vehicle Path Planning.

In recent years, many companies have been developing path planning algorithms and hardware for autonomous vehicles. This paper mainly introduces the latest research and applications of path planning algorithms and related hardware for autonomous vehicles. The introduced algorithms include improvemen...

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Publicado en:SHS Web of Conferences Vol. 144; pp. 1 - 5
Autor principal: Shi, Shangzhe
Formato: Artículo
Publicado: EDP Sciences 8/26/022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 8/26/022
      vid: 144
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      pub: EDP Sciences
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        158850579
        10.1051/shsconf/202214402019
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        atl: Research Status of Autonomous Vehicle Path Planning.
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        au: Shi, Shangzhe
        affil: Central South University of Forestry and Technology, Changsha, China
      sug:
      ab: In recent years, many companies have been developing path planning algorithms and hardware for autonomous vehicles. This paper mainly introduces the latest research and applications of path planning algorithms and related hardware for autonomous vehicles. The introduced algorithms include improvements to Traditional Algorithms, Intelligent Optimization Algorithms, Reinforcement Learning Algorithms and Hybrid Algorithms, such as improving algorithm running speed, path planning ability, and environment learning speed. In terms of hardware research and application, due to the rise of sensor technology and 5G mobile communication technology, this paper mainly introduces the research and application status of multisensor, 5G mobile communication technology and lidar, including improving the measurement accuracy of sensors and the ability of sensors to identify surrounding areas.
      pubtype: Conference Proceedings
      doctype: Article
      src: R
    language: English
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