运动规划
路径(计算)
计算机科学
能源消耗
能量(信号处理)
集合(抽象数据类型)
实时计算
机器人
分辨率(逻辑)
路径长度
数学优化
人工智能
工程类
数学
电气工程
计算机网络
统计
程序设计语言
作者
Carmelo Di Franco,Giuseppe Buttazzo
标识
DOI:10.1109/icarsc.2015.17
摘要
Coverage path planning is the operation of finding a path that covers all the points of a specific area. Thanks to the recent advances of hardware technology, Unmanned Aerial Vehicles (UAVs) are starting to be used for photogrammetric sensing of large areas in several application domains, such as agriculture, rescuing, and surveillance. However, most of the research focused on finding the optimal path taking only geometrical constraints into account, without considering the peculiar features of the robot, like available energy, weight, maximum speed, sensor resolution, etc. This paper proposes an energy-aware path planning algorithm that minimizes energy consumption while satisfying a set of other requirements, such as coverage and resolution. The algorithm is based on an energy model derived from real measurements. Finally, the proposed approach is validated through a set of experiments.
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