Results 281 to 290 of about 384,628 (316)
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Visual Coverage Path Planning for Urban Environments
IEEE Robotics and Automation Letters, 2020View planning for visual coverage is a fundamental robotics problem. Coverage for small objects (e.g. for inspection) or small scale indoor scenes have been studied extensively. However, view planning to cover a large scale urban environment remains challenging.
Cheng Peng, Volkan Isler
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Coverage Path Planning for Surveying Disjoint Areas
2018 International Conference on Unmanned Aircraft Systems (ICUAS), 2018Terrain surveying using unmanned aerial vehicles (UAV) is being applied to many areas such as precision agriculture or battlefield surveillance. A core problem of the surveying task is the coverage path planning problem (CPP); it is defined as the task of determining a path for an unmanned aerial vehicle so that it observes all points of a target area.
Juan Irving Vasquez-Gomez +2 more
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Survey on UAV Coverage Path Planning Problem
2021The advanced and highly mobile design of UAVs has led to a wide range of applications in fields such as battlefield monitoring, intelligent agriculture, photogrammetry, and disaster management, all of which are based on the coverage path planning problem (CPP).
Jiankang Xu +3 more
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Coverage Path Re-planning for Processing Faults
2015Currently, an automated surface treatment or finishing (e.g., abrasive blasting, cleaning or painting) is performed in two consecutive steps: first processing by tool, second quality evaluation by sensor. Often, a finished surface has defects like areas not properly processed. This is caused by path inaccuracy or errors in tool deployment. The defected
Mykhaylo Nykolaychuk, Frank Ortmeier
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Coverage Path Planning for 2D Convex Regions
Journal of Intelligent & Robotic Systems, 2019The number of two-dimensional surveying missions with unmanned aerial vehicles has dramatically increased in the last years. To fully automatize the surveying missions it is essential to solve the coverage path planning problem defined as the task of computing a path for a robot so that all the points of a region of interest will be observed.
Juan Irving Vasquez-Gomez +3 more
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Optimal Coverage Path Planning on 3D Terrain
2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010, 2010Automated path planning is important for the optimization of field operations. Field operations should be done in a manner that minimizes time, travels over the field surface and are coordinated with specific field operations and topographic land features. Intelligent algorithms are desired for both 2D and 3D terrain field coverage path planning.
null Jian Jin, null Lie Tang
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A Neural Network Approach to Complete Coverage Path Planning
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2004Complete coverage path planning requires the robot path to cover every part of the workspace, which is an essential issue in cleaning robots and many other robotic applications such as vacuum robots, painter robots, land mine detectors, lawn mowers, automated harvesters, and window cleaners.
Simon X, Yang, Chaomin, Luo
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Energy-Efficient Coverage Path Planning for General Terrain Surfaces
IEEE Robotics and Automation Letters, 2019This letter tackles the problem of energy-efficient coverage path planning for exploring general surfaces by an autonomous vehicle. Efficient algorithms are developed to generate paths on freeform 3-D surfaces according to a special design pattern as height extremity aware Fermat spiral for this purpose.
Chenming Wu +6 more
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Aerial Coverage Path Planning in Nuclear Emergencies
Proceedings of the Thirty-Fourth International Joint Conference on Artificial IntelligenceWe formulate a Coverage Path Planning (CPP) problem for a helicopter or a UAV tasked with mapping ground-level radiation while avoiding radiation that is too strong. We introduce a simulation environment that incorporates digital elevation models, altitude-dependent measurement footprints and realistic flight constraints, as well as state-of-the-art ...
Johann Blake, Matthias Schubert
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Complete, Decomposition-Free Coverage Path Planning
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022Tushar Kusnur, Maxim Likhachev
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