Detection versus false alarm characterisation of a vision-based airborne dim-target collision detection system

Lai, John S., Ford, Jason J., Mejias, Luis, O'Shea, Peter J., & Walker, Rodney A. (2011) Detection versus false alarm characterisation of a vision-based airborne dim-target collision detection system. In 2011 International Conference on Digital Image Computing Techniques and Applications (DICTA), IEEE, Noosa, QLD, pp. 448-455.

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This paper presents a preliminary flight test based detection range versus false alarm performance characterisation of a morphological-hidden Markov model filtering approach to vision-based airborne dim-target collision detection. On the basis of compelling in-flight collision scenario data, we calculate system operating characteristic (SOC) curves that concisely illustrate the detection range versus false alarm rate performance design trade-offs. These preliminary SOC curves provide a more complete dim-target detection performance description than previous studies (due to the experimental difficulties involved, previous studies have been limited to very short flight data sample sets and hence have not been able to quantify false alarm behaviour). The preliminary investigation here is based on data collected from 4 controlled collision encounters and supporting non-target flight data. This study suggests head-on detection ranges of approximately 2.22 km under blue sky background conditions (1.26 km in cluttered background conditions), whilst experiencing false alarms at a rate less than 1.7 false alarms/hour (ie. less than once every 36 minutes). Further data collection is currently in progress.

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13 citations in Scopus
38 citations in Web of Science®
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ID Code: 46624
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: collision, detection, false alarm, hidden Markov model, morphology, vision
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2011 IEEE
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Deposited On: 26 Oct 2011 01:42
Last Modified: 22 Jun 2017 14:44

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