A Survey of Collision Avoidance Methods for Unmanned Aircraft Systems

Cereceda, Oihane (2018) A Survey of Collision Avoidance Methods for Unmanned Aircraft Systems. In: The 27th Annual Newfoundland Electrical and Computer Engineering Conference (NECEC 2018), November 13, 2018. (Submitted)

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Abstract

Threat detection and avoidance manoeuvres are complex fields of study. With the recent integration of Unmanned Aircraft Systems (UAS) in the airspace, Collision Avoidance (CA) methods have become a growing topic in Engineering. Commercial and large aircraft carry instrumentation onboard, such as Traffic Collision Avoidance System (TCAS), able to monitor in real-time the existence of threat and provide the most appropriate avoidance. However, this device in particular does not operate at any altitude below 1,000ft, also affecting general aviation. The lack of an onboard pilot is a challenge for unmanned systems that have to provide an equivalent level of safety as manned aircraft. This paper provides an overview of the Detect and Avoid (DAA) problem associated with the integration of UAS in the airspace; it aims to clarify misconceptions and other concepts. Special focus is given to CA methods since those techniques represent the avoidance procedure carried in the last stage before a collision and are particularly critical.

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