Autonomous UAV Navigation with Domain Adaptation.
Year: 2017
Type: preprint
Abstract: Unmanned Aerial Vehicle(UAV) autonomous driving gets popular attention in machine learning field. Especially, autonomous navigation in outdoor environment has been in trouble since acquiring massive dataset of various environments is difficult and environment always changes dynamically. In this paper, we apply domain adaptation with adversarial learning framework to UAV autonomous navigation. We succeed UAV navigation in various courses without assigning corresponding label information to real outdoor images. Also, we show empirical and theoretical results which verify why our approach is feasible.
Source: arXiv (Cornell University)
Authors: Jaeyoon Yoo, Yongjun Hong, Sungroh Yoon
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2771862810