Coverage Path Planning (CPP)Unmanned Aerial Vehicles (UAVs)Enhanced exact cellular decompositionWidth calculationConvex decompositionSubregion connectionIn this paper, an enhanced exact cellular decomposition method to plan the coverage path of UAVs in a polygon area is proposed. To be more specific, ...
Coverage Path Planning (CPP) is the task of determining a path that passes over all points of an area or volume of interest while avoiding obstacles. This task is integral to many robotic applications, such as vacuum cleaning robots, painter robots, autonomous underwater vehicles creating image ...
Indoor Coverage Path Planning: Survey, Implementation, Analysis 概况:讲的是覆盖路径规划(CPP)算法,本文中介绍了六种算法,并进行了深入的比较,在550多个室内地图中做了实验。 一、介绍 本文是基于6\8论文的补充。 本文提供了广泛的覆盖路径规划方法,包括一种精确的单元分解方法、基于三单元网格的规划方法、一种轮...
This paper proposes a area coverage path planning(CPP) algorithm for the concave polygon area, which aims to enable UAV to complete the coverage search of the specified area more efficiently. Firstly, the algorithm flow is given by dealing with concave points in concave polygon area and dividing...
genetic algorithm for UAV maritime search and rescue (SAR) coverage path planning (CPP) problem (0)踩踩(0) 所需:1积分 rabbitmq-delayed-message-exchange 2025-03-31 02:10:10 积分:1 延时任务队列 2025-03-31 02:09:41 积分:1 懒猫的代码仓库 ...
Unmanned Aerial Vehicles (UAVs) have gained popularity in data harvesting (DH) and coverage path planning (CPP) to survey a given area efficiently and collect data from aerial perspectives, while data harvesting aims to gather information from various Internet of Things (IoT) sensor devices, covera...
Specifically, a Context-Aware Coverage Path Planning (CACPP) problem has been formulated to determine the complete coverage path of a large area by a swarm of UAVs, minimizing the path overlapping and UAV battery swapping. The model takes into account the need to continue re-planning the ...
Coverage Path Planning (CPP) involves planning a robot path that makes the coverage tool attached to the robot sweep the entire area while avoiding obstacles. In a multi-robot coverage problem, the goal is to build efficient paths for each of the robots, which jointly cover the whole area. ...
Aiming at the problems of security, high repetition rate, and many restrictions of multirobot coverage path planning (MCPP) in an unknown environment, Deep Q-Network (DQN) is selected as a part of the method in this paper after considering its powerful approximation ability to the optimal acti...
Coverage Path Planning (CPP) aims at finding an optimal path that covers the whole given space. Due to the NP-hard nature, CPP remains a challenging problem. Bio-inspired algorithms such as Ant Colony Optimisation (ACO) have been exploited to solve the problem because they can utilise ...