Unmanned aerial surveillance system for hazard collision avoidance in autonomous shipping

Johansen, Tor A. & Perez, Tristan (2016) Unmanned aerial surveillance system for hazard collision avoidance in autonomous shipping. In 2016 International Conference on Unmanned Aircraft Systems, 7-10 June 2016, Arlington, VA.

Abstract

Autonomous ships require a sense-andcollision- avoidance functionality based on surveillance of the ocean surface in order to detect unmapped and potentially non-cooperative obstacles and hazards, and to engage into evasive manoeuvres to avoid impending collisions. In this paper, we study the concept of using an autonomous ship being assisted by an unmanned aerial surveillance system (UASS) that provides information to the ship in order to implement collision avoidance in compliance with the Convention on the International Regulations for Preventing Collisions at Sea (COLREGS). The motivation is that a UASS provides complementary sensing capabilities that can be combined with a conventional maritime radar and Automatic Identification System (AIS) to detect smaller obstacles that may be hidden in clutter, behind other objects, or submerged close to the surface. We propose a system architecture and implement a simulation environment to illustrate the concept and study the feasibility of the key control algorithms based on receding-horizon optimization.

Impact and interest:

1 citations in Scopus
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ID Code: 95755
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Hazard Collision Avoidance, Unmanned Aerial Surveillance Systems (UASS), Autonomous Shipping, sense-and-collision-avoidance, Convention on the International Regulations for Preventing Collisions at Sea (COLREGS), Automatic Identification System (AIS)
Divisions: Current > Research Centres > ARC Centre of Excellence for Robotic Vision
Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2016 [Please consult the author]
Deposited On: 24 May 2016 23:26
Last Modified: 09 Aug 2016 08:40

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