A relatively small number of alternative col- lision avoidance control behaviors are formulated by con- sidering nominal and evasive maneuvers.The control behaviors are generated by varying two parameters: Offsets to the guidance course angle commanded to the autopilot, and offset the propulsions command ranging from keep speed to full reverse. Using simulated predictions of the trajectories of the obstacles and ship, the compliances with the COLREGS rules and collision hazards associated with each of the alternative control behaviors are evaluated on a finite prediction horizon into the future, and the optimal control behavior is selected. The method is conceptually and computationally simple and yet quite versatile and powerful as it can account for the dynamics of the ship, its steering and propulsion system, forces due to wind and ocean current, and any number of obstacles. Simulations show that the method is effective and can manage complex scenarios with multiple dynamic obstacles and uncertainty in sensors and predictions.

Ship Collision Avoidance and COLREGS Compliance Using Simulation-Based Control Behavior Selection With Predictive Hazard Assessment / Johansen, Tor Arne; Perez, Tristan; Cristofaro, Andrea. - In: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. - ISSN 1524-9050. - 17:12(2016), pp. 3407-3422. [10.1109/TITS.2016.2551780]

Ship Collision Avoidance and COLREGS Compliance Using Simulation-Based Control Behavior Selection With Predictive Hazard Assessment

CRISTOFARO, ANDREA
2016

Abstract

A relatively small number of alternative col- lision avoidance control behaviors are formulated by con- sidering nominal and evasive maneuvers.The control behaviors are generated by varying two parameters: Offsets to the guidance course angle commanded to the autopilot, and offset the propulsions command ranging from keep speed to full reverse. Using simulated predictions of the trajectories of the obstacles and ship, the compliances with the COLREGS rules and collision hazards associated with each of the alternative control behaviors are evaluated on a finite prediction horizon into the future, and the optimal control behavior is selected. The method is conceptually and computationally simple and yet quite versatile and powerful as it can account for the dynamics of the ship, its steering and propulsion system, forces due to wind and ocean current, and any number of obstacles. Simulations show that the method is effective and can manage complex scenarios with multiple dynamic obstacles and uncertainty in sensors and predictions.
2016
Autonomous ships; collision avoidance, control systems; hazard, safety; trajectory optimization
01 Pubblicazione su rivista::01a Articolo in rivista
Ship Collision Avoidance and COLREGS Compliance Using Simulation-Based Control Behavior Selection With Predictive Hazard Assessment / Johansen, Tor Arne; Perez, Tristan; Cristofaro, Andrea. - In: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. - ISSN 1524-9050. - 17:12(2016), pp. 3407-3422. [10.1109/TITS.2016.2551780]
File allegati a questo prodotto
File Dimensione Formato  
Johansen_Ship-collision-avoidance_2016.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 2.84 MB
Formato Adobe PDF
2.84 MB Adobe PDF   Contatta l'autore
Johansen_postprint_Ship-collision-avoidance_2016.pdf

accesso aperto

Note: https://ieeexplore.ieee.org/document/7464354
Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.3 MB
Formato Adobe PDF
1.3 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1329715
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 229
  • ???jsp.display-item.citation.isi??? 177
social impact