Automatic Target Recognition for AUV & AI-Based Maritime Situational Awareness for USV

Charles River Analytics to Develop USV AI for US Navy

The AI balances the visibility requirements in shipping lanes with the need for stealth in open waters By Mike Ball / 07 Apr 2022

Charles River Analytics has been awarded a contract by the US Navy to develop an onboard artificial intelligence (AI) system for uncrewed surface vessels (USVs), following the successful demonstration of a prototype.

USVs in shipping lanes or active fishing zones must be visible to prevent collisions. When in open waters, the vessels may need to hide to avoid pirates or vessels from hostile nations. Though the required actions could be controlled by a remote operator, such active communications increase the risk of exposure, potentially jeopardizing the mission and ending in tracking or capture.

To help the Navy safely navigate these conflicting requirements, Charles River Analytics is developing MIN-COST (Management of Intelligent Navigation for Condition-based Ocean Safe Transit), an onboard AI system that can autonomously determine the risks of exposure and adapt behavior in response to the USV’s surroundings.

MIN-COST is designed to be active throughout a mission, from pre-launch through execution. Before launching the USV, a human operator enters mission goals, a library of plans, and operating parameters. During the mission, MIN-COST uses real-time sensor data and forecasting models to build behavior tables comprising recommended tactics for dealing with potential threats to the USV.

When a threat is encountered, MIN-COST selects tactics based on the operating parameters, the severity of the threat, and the behavior tables. If the selected tactics conflict, MIN-COST uses optimization algorithms to choose the best course of action. For example, a request to avoid a potential collision by slowing down may conflict with the speed needed to reach the next mission waypoint. MIN-COST determines that avoiding a collision is more important than reaching the mission waypoint on time, and selects a reduction in speed as the best course of action.

Drew Housten, Senior Software Engineer at Charles River Analytics and Principal Investigator for the MIN-COST effort, commented: “In the next ten years, more and more Navy and commercial vessels will depend on AI systems. To navigate safely, these systems will need to make decisions autonomously when communication with human operators isn’t possible.”

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Posted by Mike Ball Mike Ball is our resident technical editor here at Unmanned Systems Technology. Combining his passion for teaching, advanced engineering and all things unmanned, Mike keeps a watchful eye over everything related to the unmanned technical sector. With over 10 years’ experience in the unmanned field and a degree in engineering, Mike’s been heading up our technical team here for the last 8 years. Connect & Contact
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