Title
Robust Vision-Based Autonomous Navigation, Mapping And Landing For Mavs At Night
Abstract
This paper is about vision-based autonomous flight of MAVs at night. Despite it being dark almost half of the time, most of the work to date has addressed only daytime operations. Enabling autonomous night-time operation of MAVs with low SWaP on-board sensing capabilities is still an open problem in current robotics research. In this paper, we take a step in this direction and introduce a robust vision-based perception system using thermal-infrared cameras. We present this in the context of safe autonomous landing on rooftop-like structures, and demonstrate the efficacy of our proposed system through extensive real-world flight experiments in outdoor environments at night.
Year
DOI
Venue
2018
10.1007/978-3-030-33950-0_21
PROCEEDINGS OF THE 2018 INTERNATIONAL SYMPOSIUM ON EXPERIMENTAL ROBOTICS
Keywords
DocType
Volume
Micro Aerial Vehicles, Thermal-infrared, Night operation, Vision-based navigation, 3D mapping, Autonomous landing
Conference
11
ISSN
Citations 
PageRank 
2511-1256
0
0.34
References 
Authors
0
9
Name
Order
Citations
PageRank
Shreyansh Daftry1345.19
Manash Das200.34
Jeff Delaune312.72
Cristina Sorice400.34
Robert A. Hewitt511.03
Shreetej Reddy600.34
Daniel Lytle700.34
Elvin Gu800.34
Larry H. Matthies995879.64