OBSTACLE DETECTION SYSTEM INVOLVING FUSION OF MULTIPLE SENSOR TECHNOLOGIES

Obstacle detection is a fundamental task for Unmanned Aerial Vehicles (UAV) as a part of a Sense and Avoid system. In this study, we present a method of multi-sensor obstacle detection that demonstrated good results on different kind of obstacles. This method can be implemented on low-cost platfor...

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Main Authors: C. Giannì, M. Balsi, S. Esposito, P. Fallavollita
Format: Article
Language:English
Published: Copernicus Publications 2017-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W6/127/2017/isprs-archives-XLII-2-W6-127-2017.pdf
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spelling doaj-381bc3da3e1342bfa47030931c8c44522020-11-24T20:52:19ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-08-01XLII-2-W612713410.5194/isprs-archives-XLII-2-W6-127-2017OBSTACLE DETECTION SYSTEM INVOLVING FUSION OF MULTIPLE SENSOR TECHNOLOGIESC. Giannì0M. Balsi1S. Esposito2P. Fallavollita3P. Fallavollita4DIET, Dept. of Information Engineering, Electronics and Communications, “La Sapienza” University of Rome, ItalyDIET, Dept. of Information Engineering, Electronics and Communications, “La Sapienza” University of Rome, ItalyOben s.r.l., Sassari, ItalyDIET, Dept. of Information Engineering, Electronics and Communications, “La Sapienza” University of Rome, ItalyOben s.r.l., Sassari, ItalyObstacle detection is a fundamental task for Unmanned Aerial Vehicles (UAV) as a part of a Sense and Avoid system. In this study, we present a method of multi-sensor obstacle detection that demonstrated good results on different kind of obstacles. This method can be implemented on low-cost platforms involving a DSP or small FPGA. In this paper, we also present a study on the typical targets that can be tough to detect because of their characteristics of reflectivity, form factor, heterogeneity and show how data fusion can often overcome the limitations of each technology.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W6/127/2017/isprs-archives-XLII-2-W6-127-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author C. Giannì
M. Balsi
S. Esposito
P. Fallavollita
P. Fallavollita
spellingShingle C. Giannì
M. Balsi
S. Esposito
P. Fallavollita
P. Fallavollita
OBSTACLE DETECTION SYSTEM INVOLVING FUSION OF MULTIPLE SENSOR TECHNOLOGIES
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet C. Giannì
M. Balsi
S. Esposito
P. Fallavollita
P. Fallavollita
author_sort C. Giannì
title OBSTACLE DETECTION SYSTEM INVOLVING FUSION OF MULTIPLE SENSOR TECHNOLOGIES
title_short OBSTACLE DETECTION SYSTEM INVOLVING FUSION OF MULTIPLE SENSOR TECHNOLOGIES
title_full OBSTACLE DETECTION SYSTEM INVOLVING FUSION OF MULTIPLE SENSOR TECHNOLOGIES
title_fullStr OBSTACLE DETECTION SYSTEM INVOLVING FUSION OF MULTIPLE SENSOR TECHNOLOGIES
title_full_unstemmed OBSTACLE DETECTION SYSTEM INVOLVING FUSION OF MULTIPLE SENSOR TECHNOLOGIES
title_sort obstacle detection system involving fusion of multiple sensor technologies
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2017-08-01
description Obstacle detection is a fundamental task for Unmanned Aerial Vehicles (UAV) as a part of a Sense and Avoid system. In this study, we present a method of multi-sensor obstacle detection that demonstrated good results on different kind of obstacles. This method can be implemented on low-cost platforms involving a DSP or small FPGA. In this paper, we also present a study on the typical targets that can be tough to detect because of their characteristics of reflectivity, form factor, heterogeneity and show how data fusion can often overcome the limitations of each technology.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W6/127/2017/isprs-archives-XLII-2-W6-127-2017.pdf
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AT pfallavollita obstacledetectionsysteminvolvingfusionofmultiplesensortechnologies
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