Method for detecting and avoiding flight hazards

Harro von Viebahn; Jens Schiefele

doi:10.1117/12.277244

26 June 1997 Method for detecting and avoiding flight hazards

Harro von Viebahn, Jens Schiefele

Proceedings Volume 3088, Enhanced and Synthetic Vision 1997; (1997) https://doi.org/10.1117/12.277244
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

Today's aircraft equipment comprise several independent warning and hazard avoidance systems like GPWS, TCAS or weather radar. It is the pilot's task to monitor all these systems and take the appropriate action in case of an emerging hazardous situation. The developed method for detecting and avoiding flight hazards combines all potential external threats for an aircraft into a single system. It is based on an aircraft surrounding airspace model consisting of discrete volume elements. For each element of the volume the threat probability is derived or computed from sensor output, databases, or information provided via datalink. The position of the own aircraft is predicted by utilizing a probability distribution. This approach ensures that all potential positions of the aircraft within the near future are considered while weighting the most likely flight path. A conflict detection algorithm initiates an alarm in case the threat probability exceeds a threshold. An escape manoeuvre is generated taking into account all potential hazards in the vicinity, not only the one which caused the alarm. The pilot gets a visual information about the type, the locating, and severeness o the threat. The algorithm was implemented and tested in a flight simulator environment. The current version comprises traffic, terrain and obstacle hazards avoidance functions. Its general formulation allows an easy integration of e.g. weather information or airspace restrictions.

Citation Download Citation

Harro von Viebahn and Jens Schiefele "Method for detecting and avoiding flight hazards", Proc. SPIE 3088, Enhanced and Synthetic Vision 1997, (26 June 1997); https://doi.org/10.1117/12.277244

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