HUMAN VISUAL AVOIDANCE SYSTEMS “SEE and AVOID“

Peter Dzurovčin, Milan Džunda

Abstract


This paper provides a comprehensive review of the vision-based See and Avoid problem for mainly manned 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.

Keywords


avoidence; conflict detection; flying object; positioning accuracy

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Copyright (c) 2018 Peter Dzurovčin, Milan Džunda

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This work is licensed under a Creative Commons Attribution 4.0 International License.