ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper Detect and Avoid System based on Multi Sensor Fusion for UAV
Cited 24 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Myungseok ki, Jihun cha, Hyeonsu Lyu
Issue Date
2018-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1107-1109
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2018.8539587
Abstract
With the rapid growth of the personal drone market, manufacturers of unmanned aerial vehicles(UAV) mainly used in the existing military field are expanding its application in various fields such as leisure, industrial, and public as well. In addition, the autonomous flight of UAV is being developed through combination with various sensors and signal processing technologies. Obstacle detect and avoidance is the most important function to ensure safety of autonomous flight mode. In this paper, we propose an obstacle detect and avoid technique that combines a 2D LiDAR with a stereo camera for safe navigation in autonomous flight of a multi-copter UAV.
KSP Keywords
2D LiDAR, Autonomous flight, Detect and Avoid, Flight mode, Important function, Multi-Sensor, Multi-copter, Processing Technology, Safe navigation, Signal Processing, rapid growth