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A Path Planning Algorithm of Automobile Crane Based on Two-dimensional Mapping of Three-dimensional Object

机译:一种基于三维物体二维映射的汽车起重机路径规划算法

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Focusing on large amount of information of searing map and low efficiency of the search algorithm in three-dimensional path planning problem of automobile crane, this paper proposes a path planning algorithm of automobile crane based on two-dimensional mapping of three-dimensional object. Firstly, a coordinate system is built by analyzing three-dimensional working space, and then a two-dimensional map with height value is created by using the height of a three-dimensional object to create; Secondly, based on the optimization target, search algorithm with search strategy and rollback strategy is designed to generate the planning path; Lastly, the structure of path planning and the steps of the algorithm are designed to verify the correctness of the algorithm. The results show that this method can effectively describe the three-dimensional working space of crane by using the two-dimensional flat map, and reduce the execution time of the search algorithm by decreasing the data storage, thereby reducing the complexity of the three-dimensional planning path of the automobile crane.
机译:本文提出了一种基于三维物体二维映射的汽车起重机路径规划算法的大量信息。首先,通过分析三维工作空间来构建坐标系,然后通过使用要创建的三维对象的高度来创建具有高度值的二维映射;其次,基于优化目标,设计具有搜索策略和回滚策略的搜索算法来生成规划路径;最后,旨在验证算法的正确性规划和算法的步骤的结构。结果表明,通过使用二维平面图可以有效地描述起重机的三维工作空间,并通过减少数据存储来减少搜索算法的执行时间,从而降低了三维的复杂性规划汽车起重机的路径。

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