Journal
PROGRESS IN AEROSPACE SCIENCES
Volume 80, Issue -, Pages 1-17Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.paerosci.2015.10.002
Keywords
Detect and Avoid; See and Avoid; Unmanned Aircraft Systems; Visual control; Collision avoidance
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Funding
- Institute for Future Environments (IFE)
- Australian Research Centre for Aerospace Automation (ARCAA) at Queensland University of Technology (QUT), Brisbane, Australia
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This paper provides a comprehensive review of the vision-based See and Avoid problem for unmanned aircraft. The unique problem environment and associated constraints are detailed, followed by an in-depth analysis of visual sensing limitations. In light of such detection and estimation constraints, relevant human, aircraft and robot collision avoidance concepts are then compared from a decision and control perspective. Remarks on system evaluation and certification are also included to provide a holistic review approach. The intention of this work is to clarify common misconceptions, realistically bound feasible design expectations and offer new research directions. It is hoped that this paper will help us to unify design efforts across the aerospace and robotics communities. (C) 2015 Elsevier Ltd. All rights reserved.
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