Results 31 to 40 of about 384,628 (316)
Optimal Polygon Decomposition for UAV Survey Coverage Path Planning in Wind. [PDF]
Coombes M, Fletcher T, Chen WH, Liu C.
europepmc +3 more sources
A Complete Coverage Path Planning Algorithm for Lawn Mowing Robots Based on Deep Reinforcement Learning. [PDF]
Chen Y, Lu ZM, Cui JL, Luo H, Zheng YM.
europepmc +3 more sources
Convex Decomposition for a Coverage Path Planning for Autonomous Vehicles: Interior Extension of Edges. [PDF]
Nielsen LD, Sung I, Nielsen P.
europepmc +3 more sources
CPPNet: A Coverage Path Planning Network [PDF]
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 ...
Shen, Zongyuan +4 more
openaire +2 more sources
A Simulation Framework for Zoom-Aided Coverage Path Planning with UAV-Mounted PTZ Cameras. [PDF]
Rios NC, Mondal S, Tsourdos A.
europepmc +3 more sources
Coverage path planning for spraying drones
Submitted to Computers and Industrial ...
Vazquez-Carmona, E. Viridiana +3 more
openaire +3 more sources
Occlusion-Aware UAV Path Planning for Reconnaissance and Surveillance
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
Energy-Aware Coverage Path Planning of UAVs [PDF]
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.
DI FRANCO, CARMELO +1 more
openaire +1 more source
Smooth Complete Coverage Trajectory Planning Algorithm for a Nonholonomic Robot
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
doaj +1 more source
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
doaj +1 more source

