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Scientific Reports, 2023 Obstacle avoidance path planning is considered an essential requirement for unmanned aerial vehicle (UAV) to reach its designated mission area and perform its tasks.
Zhihao Zhang, Xiaodong Liu, Boyu Feng
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An Improved Multi-UAV Area Coverage Path Planning Approach Based on Deep Q-Networks
Applied SciencesMulti-UAV area coverage path planning is a challenging and important task in the field of multi-robots. To achieve efficient and complete coverage in grid-based environments with obstacles and complex boundaries, a multi-UAV area coverage path planning ...
Jianjun Ni +3 more
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Area Division Using Affinity Propagation for Multi-Robot Coverage Path Planning [PDF]
, 2023 Nikolaos Baras, Minas Dasygenis
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DronesThe study of unmanned aerial vehicle (UAV) coverage path planning is of great significance for ensuring maritime situational awareness and monitoring.
Yiyuan Li +4 more
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Vehicle Path Planning for Complete Field Coverage Using Genetic Algorithms [PDF]
, 2007 Rosana G. Moreira, Editor-in-Chief; Texas A&M UniversityThis is a paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 9 (2007): Vehicle Path Planning for Complete Field ...
Ryerson, A.E.F., Zhang, Q.
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Efficient Multi-Robot Coverage of a Known Environment
, 2018 This paper addresses the complete area coverage problem of a known environment by multiple-robots. Complete area coverage is the problem of moving an end-effector over all available space while avoiding existing obstacles.
Benson, Kelly +4 more
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Coverage Path Planning using Path Primitive Sampling and Primitive Coverage Graph for Visual Inspection [PDF]
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 Planning the path to gather the surface information of the target objects is crucial to improve the efficiency of and reduce the overall cost, for visual inspection applications with Unmanned Aerial Vehicles (UAVs). Coverage Path Planning (CPP) problem is often formulated for these inspection applications because of the coverage requirement ...
Jing, Wei +4 more
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Time‐Efficient Coverage Path Planning for Energy‐Constrained UAV
Wireless Communications and Mobile Computing, 2022 Unmanned aerial vehicles (UAVs) have the characteristics of high mobility and wide coverage, making them widely used in coverage, search, and other fields. In these applications, UAV often has limited energy. Therefore, planning a time‐efficient coverage path for energy‐constrained UAV to cover the area of interest is the core issue.
Yanxi Huang +3 more
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Applied SciencesDue to the limitations of low coverage, high repetition rate, and slow convergence speed of the basic genetic algorithm (GA) in robot complete coverage path planning, the state transition matrix of the Markov chain is introduced to guide individual ...
Jiangyi Han +3 more
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Coverage Path Planning Algorithm for Unmanned Aerial Vehicles in Roof Inspection Tasks [PDF]
Jisuanji gongchengTo address the problem of low solving efficiency in existing 3D Coverage Path Planning (CPP) algorithms, a novel 3D CPP algorithm based on viewpoint sampling is proposed. First, a view planning model based on grid downsampling is constructed.
LI Haiwang, WANG Aoqiang, ZHANG Shilong, GUO Cailing, LI Bailin
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