Towards A COLREGs Compliant Autonomous Surface Vessel in a Constrained Channel
James Connor Meyers, Thomas Sayre McCord, Zhiyong Zhang, Hanumant, Singh

TL;DR
This paper presents a comprehensive framework for COLREGs-compliant autonomous navigation of surface vessels in constrained channels, integrating sensor data processing, vessel tracking, and real-time path planning demonstrated on a real-world river mission.
Contribution
It introduces an integrated approach combining radar, INS, ENC, Kalman filtering, and path planning for autonomous vessels to navigate safely in complex environments.
Findings
Successful real-world demonstration on Charles River
Effective obstacle avoidance and vessel tracking
COLREGs compliance in dynamic scenarios
Abstract
In this paper, we look at the role of autonomous navigation in the maritime domain. Specifically, we examine how an Autonomous Surface Vessel(ASV) can achieve obstacle avoidance based on the Convention on the International Regulations for Preventing Collisions at Sea (1972), or COLREGs, in real-world environments. Our ASV is equipped with a broadband marine radar, an Inertial Navigation System (INS), and uses official Electronic Navigational Charts (ENC). These sensors are used to provide situational awareness and, in series of well-defined steps, we can exclude land objects from the radar data, extract tracks associated with moving vessels within range of the radar, and then use a Kalman Filter to track and predict the motion of other moving vessels in the vicinity. A Constant Velocity model for the Kalman Filter allows us to solve the data association to build a consistent model…
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Taxonomy
TopicsMaritime Navigation and Safety · Underwater Vehicles and Communication Systems · International Maritime Law Issues
