A mid-air collision warning system: vision-based estimation of collision threats for aircraft

Gunasinghe, Dasun, Strydom, Reuben and Srinivasan, Mandyam V. (2016). A mid-air collision warning system: vision-based estimation of collision threats for aircraft. In: ACRA 2016: Australasian Conference on Robotics and Automation. Australasian Conference on Robotics and Automation, The University of Queensland, (). 5-7 December 2016.

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Name Description MIMEType Size Downloads
Author Gunasinghe, Dasun
Strydom, Reuben
Srinivasan, Mandyam V.
Title of paper A mid-air collision warning system: vision-based estimation of collision threats for aircraft
Conference name Australasian Conference on Robotics and Automation
Conference location The University of Queensland
Conference dates 5-7 December 2016
Convener ARAA
Proceedings title ACRA 2016: Australasian Conference on Robotics and Automation
Publisher Australian Robotics and Automation Association
Publication Year 2016
Sub-type Fully published paper
Total pages 10
Collection year 2017
Language eng
Abstract/Summary This paper describes a vision-based technique for predicting whether non cooperative moving objects are possible collision threats. The technique predicts the time to minimum separation (TMS), as well as the absolute minimum separation (AMS), to identify object(s) that pose a threat based on a predefined safe separation zone. Theory demonstrates how the TMS can be estimated by measuring changes in the target’s angular visual position as captured by the on-board vision sensor. Furthermore, we show how the AMS can be estimated from the calculated TMS and the size of the object’s image. The performance of the technique is demonstrated through simulations, as well as in outdoor field tests using a rotorcraft.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes http://www.araa.asn.au/conferences/acra-2016/table-of-contents/

 
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Created: Wed, 01 Mar 2017, 13:22:11 EST by Kirstie Asmussen on behalf of School of Music