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ALLFlight - Blob-Based Approach to Detect Dangerous Drift- Velocities during Helicopter Landing Approaches

Gatter, Alexander and Döhler, H.-U. and Lüken, Thomas and Stadelhofer, Ralf (2014) ALLFlight - Blob-Based Approach to Detect Dangerous Drift- Velocities during Helicopter Landing Approaches. CEAS Aeronautical Journal, 5 (12), pp. 1-11. Springer. DOI: 10.1007/s13272-014-0135-y ISBN 1869-5582 ISSN 1869-5590

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Official URL: http://link.springer.com/article/10.1007/s13272-014-0135-y

Abstract

The Institute of Flight Systems at the German Aerospace Center (DLR) site in Braunschweig is dedicating much effort to the goal of making helicopter flying safe. This paper concentrates on decreasing the danger of accidents caused by so-called “dynamic rollovers” which may result from undetected lateral velocities during the landing approach. Especially in degraded visual environment situations where pilots cannot visually evaluate the horizontal movement, accidents are likely to occur. While under normal circumstances the combination of INS and GPS is usually sufficient to detect critical lateral drift velocities, during the landing process, the INS drift may reach a dangerously high value quite soon after the GPS signal has been lost (for instance, in canyons, cities, or due to jamming). The vision algorithm that is proposed here uses a blob-based approach to solve this problem. Blobs are regions in an image that fit together bound by a specific criterion. In this paper, we will describe how an image is segmented, possible blobs are selected and characterized, how they are tracked, and how the velocity of the helicopter is calculated. Finally, the accuracy of this algorithm will be analyzed using data that have been recorded from flight tests conducted by the DLR’s flying helicopter simulator EC135 (ACT/FHS).

Item URL in elib:https://elib.dlr.de/93494/
Document Type:Article
Title:ALLFlight - Blob-Based Approach to Detect Dangerous Drift- Velocities during Helicopter Landing Approaches
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Gatter, Alexanderalexander.gatter (at) dlr.deUNSPECIFIED
Döhler, H.-U.ulli.doehler (at) dlr.deUNSPECIFIED
Lüken, Thomasthomas.lueken (at) dlr.deUNSPECIFIED
Stadelhofer, Ralfralf.stadelhofer (at) cassidian.comUNSPECIFIED
Date:2014
Journal or Publication Title:CEAS Aeronautical Journal
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:5
DOI :10.1007/s13272-014-0135-y
Page Range:pp. 1-11
Publisher:Springer
ISSN:1869-5590
ISBN:1869-5582
Status:Published
Keywords:Computer vision; Visual odometrie; Drift estimation; Brown out; Helicopter landing
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:rotorcraft
DLR - Research area:Aeronautics
DLR - Program:L RR - Rotorcraft Research
DLR - Research theme (Project):L - The Smart Rotorcraft
Location: Braunschweig
Institutes and Institutions:Institute of Flight Systems > Rotorcraft
Institute of Flight Control > Pilot Assistance
Deposited By: Gatter, Alexander
Deposited On:11 May 2015 12:10
Last Modified:29 Jun 2015 03:04

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