Results 21 to 30 of about 29,066 (284)
CPPNet: A Coverage Path Planning Network [PDF]
OCEANS 2021: San Diego – Porto, 2021 This paper presents a deep-learning based CPP algorithm, called Coverage Path Planning Network (CPPNet). CPPNet is built using a convolutional neural network (CNN) whose input is a graph-based representation of the occupancy grid map while its output is an edge probability heat graph, where the value of each edge is the probability of belonging to the ...
Zongyuan Shen +4 more
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Occlusion-Aware UAV Path Planning for Reconnaissance and Surveillance
Drones, 2021 Unmanned Aerial Vehicles (UAVs) have become necessary tools for a wide range of activities including but not limited to real-time monitoring, surveillance, reconnaissance, border patrol, search and rescue, civilian, scientific and military missions, etc.
Jian Zhang, Hailong Huang
doaj +1 more source
Coverage path planning for autonomous underwater vehicles [PDF]
, 2014 This thesis proposes new methods to find collision-free paths allowing an AUV to cover an area of the ocean floor with its sensors, which is known as coverage path planning. First, we propose a coverage path planning method to plan 2D, safe-altitude surveys which provides a principled way to account for obstacles in AUV survey planning.
Galceran Yebenes, Enric
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An approach for coverage path planning for UAVs [PDF]
2016 IEEE 14th International Workshop on Advanced Motion Control (AMC), 2016 In this paper, an offline flight planner that computes an efficient coverage trajectory for a quad-rotors UAV is presented. The planner consists of three steps: mission definition, automatic path planning and trajectory generation. The proposed planner, as a useful tool, allows an UAV operator to easily define and generate a coverage trajectory for any
L. H. Nam +3 more
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Spatial coverage in routing and path planning problems
European Journal of Operational Research, 2023 Routing and path planning problems that involve spatial coverage have received increasing attention in recent years in different application areas. Spatial coverage refers to the possibility of considering nodes that are not directly served by a vehicle as visited for the purpose of the objective function or constraints.
Katharina Glock, Anne Meyer
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Smooth Complete Coverage Trajectory Planning Algorithm for a Nonholonomic Robot
Sensors, 2022 The complete coverage path planning is a process of finding a path which ensures that a mobile robot completely covers the entire environment while following the planned path.
Ana Šelek +3 more
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Simulating Coverage Path Planning with Roomba
CoRR, 2022 Coverage Path Planning involves visiting every unoccupied state in an environment with obstacles. In this paper, we explore this problem in environments which are initially unknown to the agent, for purposes of simulating the task of a vacuum cleaning robot. A survey of prior work reveals sparse effort in applying learning to solve this problem.
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Journal of Marine Science and Engineering, 2023 A deep reinforcement learning method to achieve complete coverage path planning for an unmanned surface vehicle (USV) is proposed. This paper firstly models the USV and the workspace required for complete coverage.
Bowen Xing +4 more
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Edge Coverage Path Planning for Robot Mowing
CoRR, 2022 Thanks to the rapid evolvement of robotic technologies, robot mowing is emerging to liberate humans from the tedious and time-consuming landscape work. Traditionally, robot mowing is perceived as a "Coverage Path Planning" problem, with a simplification that converts non-convex obstacles into convex obstacles.
Zhaofeng Tian, Weisong Shi
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Sampling-Based Coverage Path Planning for Inspection of Complex Structures [PDF]
, 2012 We present several new contributions in sampling-based coverage path planning, the task of finding feasible paths that give 100% sensor coverage of complex structures in obstacle-filled and visually occluded environments.
Englot, Brendan J. +5 more
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