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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
Externí odkaz:
http://arxiv.org/abs/2108.01626
Autor:
Dhameliya, Hiren, Agrawal, Palash
Publikováno v:
In Energy Procedia December 2016 90:660-665
Publikováno v:
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR); 2015, p151-155, 5p