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  • 标题:Analysis of the Hybrid Global Path Planning Algorithm for Different Environments
  • 本地全文:下载
  • 作者:Paulius Skačkauskas ; Edgar Sokolovskij
  • 期刊名称:Transport and Telecommunication Journal
  • 印刷版ISSN:1407-6160
  • 电子版ISSN:1407-6179
  • 出版年度:2019
  • 卷号:20
  • 期号:1
  • 页码:1-11
  • DOI:10.2478/ttj-2019-0001
  • 出版社:Walter de Gruyter GmbH
  • 摘要:To achieve the overall goal of realising an efficient and advantageous participation of autonomous ground vehicles in the transport system as fast as possible, a lot of work is being done in different and specific research fields. One of the most important research fields, which has a large impact on safe autonomous ground vehicle realisation, is the development of path planning algorithms. Therefore, this work describes in detail the development and application of a hybrid path planning algorithm. The described algorithm is based on classical and heuristic path planning approaches and can be applied in unstructured and structured environments. The efficiency of the algorithm was investigated by applying the algorithm and executing theoretical and experimental tests. The theoretical and experimental tests were executed while optimising different complexity paths. Results analysis demonstrated that the described algorithm can generate a smooth, dynamically feasible and collision-free path.
  • 关键词:autonomous vehicle ; path planning ; hybrid algorithm ; optimisation ; structured environment ; unstructured environment
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