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ALLFlight - Detection of moving objects in IR and Ladar images

Doehler, Hans-Ullrich and Peinecke, Niklas and Lueken, Thomas and Schmerwitz, Sven (2013) ALLFlight - Detection of moving objects in IR and Ladar images. In: Enhanced and Synthetiv Vision 2013, Volume. SPIE The International Society for Optical Engineering. SPIE Defence Security+Sensing, 29.04.-02.05.2013, Baltimore, USA.

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Abstract

Supporting a helicopter pilot during landing and takeoff in degraded visual environment (DVE) is one of the challenges within DLR's project ALLFlight (Assisted Low Level Flight and Landing on Unprepared Landing Sites). Different types of sensors (TV, Infrared, mmW radar and laser radar) are mounted onto DLR’s research helicopter FHS (flying helicopter simulator) for gathering different sensor data of the surrounding world. A high performance computer cluster architecture acquires and fuses all the information to get one single comprehensive description of the outside situation. While both TV and IR cameras deliver images with frame rates of 25 Hz or 30 Hz, Ladar and mmW radar provide geo-referenced sensor data with only 2 Hz or even less. Therefore, it takes several seconds to detect or even track potential moving obstacle candidates in mmW or Ladar sequences. Especially if the helicopter is flying with higher speed, it is very important to minimize the detection time of obstacles in order to initiate a re-planning of the helicopter’s mission timely. Applying feature extraction algorithms on IR images in combination with data fusion algorithms of extracted features and Ladar data can decrease the detection time appreciably. Based on real data from flight tests, the paper describes applied feature extraction methods for moving object detection, as well as data fusion techniques for combining features from TV/IR and Ladar data.

Item URL in elib:https://elib.dlr.de/81836/
Document Type:Conference or Workshop Item (Speech)
Additional Information:referiertes Abstract
Title:ALLFlight - Detection of moving objects in IR and Ladar images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Doehler, Hans-Ullrichulli.doehler (at) dlr.deUNSPECIFIED
Peinecke, Niklasniklas.peinecke (at) dlr.deUNSPECIFIED
Lueken, Thomasthomas.lueken (at) dlr.deUNSPECIFIED
Schmerwitz, Svensven.schmerwitz (at) dlr.deUNSPECIFIED
Date:2013
Journal or Publication Title:Enhanced and Synthetiv Vision 2013
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Volume:Volume
Publisher:SPIE The International Society for Optical Engineering
Series Name:Proceedings of SPIE
Status:Published
Keywords:data fusion, image processing, feature extraction, obstacle detection, 3D-trajectory estimation, ladar processing, IR camera calibration, helicopter navigation
Event Title:SPIE Defence Security+Sensing
Event Location:Baltimore, USA
Event Type:international Conference
Event Dates:29.04.-02.05.2013
Organizer:SPIE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Rotorcraft (old)
DLR - Research area:Aeronautics
DLR - Program:L RR - Rotorcraft Research
DLR - Research theme (Project):L - The Innovative Rotorcraft (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Control > Pilot Assistance
Deposited By: Döhler, Dr.-Ing. Hans-Ullrich
Deposited On:11 Apr 2013 16:22
Last Modified:25 Oct 2017 17:19

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