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Planning and correction of the AUV coverage path in real time

机译:实时规划和修正AUV覆盖路径

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Autonomous underwater vehicles (AUV) are used for the environmental monitoring, search and exploration works in different waters. In order to execute them, AUV must obtain the mission (coverage path) and be able to correct it if detects unforeseen obstacle. Planning such mission by hand is the difficult task for the operator, especially if AUV must maneuver among the islands and the twisting coastline. To solve this problem the mission editor must include the coverage algorithm, capable of automatic generating the coverage path. In this case it is necessary only to input the bounds of the water area and the distance between tacks. The paper formulates requirements to the coverage algorithm, subject to the specific features of the underwater acoustic search devices and the need for operating in real time. Using these requirements a number of coverage algorithms used in the ground or in the underwater robotics was analyzed. The algorithm, that can generate the complete coverage path, was developed in the result. It can be used both for planning in off-line mode, and for the path correction on board the AUV in real time (due to low computing cost).
机译:自动水下车辆(AUV)用于环境监测,搜查和勘探在不同的水域中。为了执行它们,AUV必须获得任务(覆盖路径),并且如果检测到不可预见的障碍,则能够纠正它。用手计划这种使命是运营商的艰巨任务,特别是如果AUV必须在岛屿中操作和扭曲的海岸线。为了解决这个问题,任务编辑器必须包括覆盖算法,能够自动生成覆盖路径。在这种情况下,只需输入水域面积的边界和粘性之间的距离。纸张制定对覆盖算法的要求,受水下声学搜索设备的特定特征以及实时操作的需要。使用这些要求,分析了地面或水下机器人中使用的许多覆盖算法。结果,可以生成完整覆盖路径的算法。它可以用于在离线模式下规划,并且实时地用于AUV的路径校正(由于计算成本低)。

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