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Semi-Dense Visual Odometry for Monocular Navigation in Cluttered Environment

Shreyansh Daftry, Debadeepta Dey, Harsimrat Sandhawalia, Sam Zeng, J. Andrew (Drew) Bagnell and Martial Hebert
Conference Paper, Carnegie Mellon University, IEEE International Conference on Robotics and Automation (ICRA) workshop on Recent Advances in Sensing and Actuation for Bioinspired Agile Flight, May, 2015

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Abstract

Recently, there have been numerous advances in the development of biologically inspired lightweight Micro Aerial Vehicles (MAVs). Due to payload and power constraints it is necessary for such systems to have autonomous navigation and flight capabilites in highly dense and cluttered environments using only passive sensors such as cameras. This is a challenging problem, given they have to operate in highly variable illumination conditions and be responsive to large environmental variations. In this paper we describe a scale-aware monocular vision based semi-dense direct depth perception system that enables robust autonomous navigation of small agile MAVs at low altitude through natural forest environments. We also show qualitative results in an outdoor dense forest area.

BibTeX Reference
@conference{Daftry-2015-5949,
title = {Semi-Dense Visual Odometry for Monocular Navigation in Cluttered Environment},
author = {Shreyansh Daftry and Debadeepta Dey and Harsimrat Sandhawalia and Sam Zeng and J. Andrew (Drew) Bagnell and Martial Hebert},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA) workshop on Recent Advances in Sensing and Actuation for Bioinspired Agile Flight},
school = {Robotics Institute , Carnegie Mellon University},
month = {May},
year = {2015},
address = {Pittsburgh, PA},
}
2017-09-13T10:38:43+00:00