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A path planning algorithm of automobile crane based on two-dimensional mapping of three-dimensional object

机译:基于三维对象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:针对汽车起重机三维路径规划问题中灼热图信息量大,搜索算法效率低的问题,提出了一种基于三维对象二维映射的汽车起重机路径规划算法。首先,通过分析三维工作空间建立坐标系,然后利用三维物体的高度创建具有高度值的二维地图。其次,基于优化目标,设计了具有搜索策略和回滚策略的搜索算法来生成计划路径。最后,设计了路径规划的结构和算法步骤,以验证算法的正确性。结果表明,该方法可以利用二维平面图有效地描述起重机的三维工作空间,并通过减少数据存储量来减少搜索算法的执行时间,从而降低了三维的复杂度。汽车起重机的规划路径。

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