Quantifying protocol evaluation for autonomous collision avoidance
TL;DR: A means to quantify and subsequently evaluate the otherwise subjective nature of COLREGS thus providing a path toward standardized evaluation and certification of protocol-constrained collision avoidance systems based on admiralty case law and on-water experience is presented.
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Abstract: Collision avoidance protocols such as COLREGS are written primarily for human operators resulting in a rule set that is open to some interpretation, difficult to quantify, and challenging to evaluate. Increasing use of autonomous control of vehicles emphasizes the need to more uniformly establish entry and exit criteria for collision avoidance rules, adopt a means to quantitatively evaluate performance, and establish a “road test” for autonomous marine vehicle collision avoidance. This paper presents a means to quantify and subsequently evaluate the otherwise subjective nature of COLREGS thus providing a path toward standardized evaluation and certification of protocol-constrained collision avoidance systems based on admiralty case law and on-water experience. Notional algorithms are presented for evaluation of COLREGS collision avoidance rules to include overtaking, head-on, crossing, give-way, and stand-on rules as well as applicable entry criteria. These rules complement and enable an autonomous collision avoidance road test as a first iteration of algorithm certification prior to vessels operating in human-present environments. Additional COLREGS rules are discussed for future development. Both real-time and post-mission protocol evaluation tools are introduced. While the motivation of these techniques applies to improvement of autonomous marine collision avoidance, the concepts for protocol evaluation and certification extend naturally to human-operated vessels. Evaluation of protocols governing other physical domains may also benefit from adapting these techniques to their cases.
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Citations
Towards simulation-based verification of autonomous navigation systems
Tom Arne Pedersen,Jon Arne Glomsrud,Else-Line M. Ruud,Aleksander Simonsen,Jarle Sandrib,Bjørn-Olav Holtung Eriksen +5 more
TL;DR: This paper presents a comprehensive prototype of a test system for ANS, meaning a digital representation of key elements of the autonomous ship as a key tool for simulation-based testing, which will include a test management system that controls simulation of the digital twin and the virtual world, and generates test scenarios and evaluates the test scenario results.
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A Study of the Application Barriers to the Use of Autonomous Ships Posed by the Good Seamanship Requirement of COLREGs
TL;DR: To facilitate the introduction of autonomous ships, the application barriers presented by COLREGs need to be analysed and the need to amend the ‘look-out’ rule to permit look-out by ‘computer vision’ alone while, at the same time, preserving the distinction between vessels navigating in restricted visibility and in sight of one another is highlighted.
61
An interpretable knowledge-based decision support method for ship collision avoidance using AIS data
TL;DR: In this paper , an interpretable knowledge-based decision support method is established to guide the ship to make collision avoidance decisions with good seamanship and ordinary practice of seamen using AIS data.
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Multi-ship collision avoidance decision-making and coordination mechanism in Mixed Navigation Scenarios
TL;DR: In this paper , a collision avoidance intention notification mechanism is formed, and the sequential decision is performed that enables real-time decision update, which is based on the International Regulations for Preventing Collision at Sea (COLREGs).
52
Safety challenges related to autonomous ships in mixed navigational environments
TL;DR: In this paper , the authors explore the potential safety challenges related to autonomous ship operations in a mixed navigational environment and discuss several possible ways to reduce the same issues related to the identified safety risks, while including a discussion for possible future practice and research interests in ship navigation.
References
Safe Maritime Autonomous Navigation With COLREGS, Using Velocity Obstacles
TL;DR: An autonomous motion planning algorithm for unmanned surface vehicles (USVs) to navigate safely in dynamic, cluttered environments and what is believed to be the first on-water demonstration of autonomous COLREGS maneuvers without explicit intervehicle communication is presented.
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A distributed anti-collision decision support formulation in multi-ship encounter situations under COLREGs
TL;DR: In this article, a distributed and real-time anti-collision decision support formulation is proposed for collision avoidance in a multi-ship encounter scenario, where the initial decision on collision avoidance by course alteration or speed changing is made according to the encounter situation between own ship and target ships.
187
A Risk-Informed Ship Collision Alert System: Framework and Application
TL;DR: In this paper, a framework for maritime risk-informed collision alert system (RICAS) is presented, including a risk-conceptual basis, a systematic description of the risk perspective and a discussion on the intended use of the model.
162
A method for protocol‐based collision avoidance between autonomous marine surface craft
TL;DR: This work represents the first in‐field demonstration of multiobjective optimization applied to autonomous COLREGS‐based marine vehicle navigation, and presents experimental validation of this approach using multiple autonomous surface craft.
An Analysis of Domain-Based Ship Collision Risk Parameters
TL;DR: In this paper, the authors present analytic formulas for domain-based collision risk parameters: degree of domain violation (DDV) and time to domain violation(TDV) for any elliptic domain.
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