Airborne collision scenario flight tests : impact of angle measurement errors on reactive vision-based avoidance control


Autoria(s): Bruggemann, Troy S.; Mejias, Luis
Contribuinte(s)

Falzon, Brian

Data(s)

25/02/2013

Resumo

The future emergence of many types of airborne vehicles and unpiloted aircraft in the national airspace means collision avoidance is of primary concern in an uncooperative airspace environment. The ability to replicate a pilot’s see and avoid capability using cameras coupled with vision based avoidance control is an important part of an overall collision avoidance strategy. But unfortunately without range collision avoidance has no direct way to guarantee a level of safety. Collision scenario flight tests with two aircraft and a monocular camera threat detection and tracking system were used to study the accuracy of image-derived angle measurements. The effect of image-derived angle errors on reactive vision-based avoidance performance was then studied by simulation. The results show that whilst large angle measurement errors can significantly affect minimum ranging characteristics across a variety of initial conditions and closing speeds, the minimum range is always bounded and a collision never occurs.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/57810/

Relação

http://eprints.qut.edu.au/57810/1/79_Bruggemann.pdf

http://www.aiac15.com/

Bruggemann, Troy S. & Mejias, Luis (2013) Airborne collision scenario flight tests : impact of angle measurement errors on reactive vision-based avoidance control. In Falzon, Brian (Ed.) 15th Australian International Aerospace Congress (AIAC15), 25-28 February 2013, Melbourne, VIC.

http://purl.org/au-research/grants/ARC/LP100100302

Direitos

Copyright 2013 [please consult the author]

Fonte

Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #080104 Computer Vision #090104 Aircraft Performance and Flight Control Systems #090602 Control Systems Robotics and Automation #collision avoidance #vision-based control #see and avoid #UAV #aircraft control
Tipo

Conference Paper