The aim of the Baltic Marine Watchdog Challenge is to develop, demonstrate, and validate fully autonomous systems for maritime surveillance, vessel tracking, documentation, and monitoring relevant to safe navigation, environmental protection, maritime situational awareness, and critical infrastructure protection in demanding operational conditions. These systems must be able to autonomously patrol a defined sea area, identify and track vessels or other objects of interest, detect relevant anomalies, and maintain safe manoeuvring in real time.
The challenge addresses a market and capability gap in integrated autonomous maritime systems. While individual technologies for unmanned platforms, sensors, navigation, energy systems and data analysis are developing rapidly, there remains a need for solutions that can combine persistent, energy-efficient autonomous operation with sensor fusion and decision-support functionality. Such solutions should contribute to broader maritime situational awareness, support faster and better-informed operational decisions, and generate trustworthy documentation that may support subsequent assessment, verification and, where appropriate, attribution in complex Baltic Sea conditions. Where applicable, the solution may also support operator decisions on whether to continue observation, issue visible or audible signalling, or notify relevant authorities, while maintaining human oversight, safety, and accountability.
We seek adaptive solutions that have maritime situational awareness, can autonomously classify and track objects and activities of interest, exchange relevant information, and operate effectively under adverse weather, darkness, dense maritime traffic, electronic interference, and GNSS-degraded conditions. The challenge progresses from controlled demonstrations to realistic field trials and ultimately to operational validation in complex multi-threat scenarios.
Solutions must integrate autonomous sensing, decision-making, endurance, documentation, and navigation into a complete end-to-end capability. This includes multimodal sensor fusion, combining several technologies for surface and underwater awareness together with transparent decision logic, robust data transmission and seamless integration of detection, tracking, documentation and response-support functions.
Human override capabilities must always be available, and solutions must prioritise safety, accountability, operational resilience, and sustainability throughout all stages of the challenge.
System requirements
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Autonomy: The system must be fully autonomous. Time from incident to detection (alert to the demonstration operator), and to correct decision to track, will be measured.
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Monitoring and data exchange: The system must be monitored from a land-based central command.
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Deterrence: An audible and visual alarm that is perceptible to the object identified as an anomaly.
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Documentation: Suspicious activities must be documented through time-stamped and geo-referenced data and securely transmitted or stored for subsequent analysis and decision support. The documentation should support subsequent assessment, verification, and, where appropriate, attribution by authorised operators.
Regulatory requirements
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Regulations: The system must comply with relevant regulations for unmanned vessels and with a remote kill switch installed.
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Data transmission and structure: The system should comply, as far as possible, with the relevant parts of STANAG 4817 and the Federated Mission Network (FMN) framework.
Operational context
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Area of operation: The Baltic Sea, littoral waters. The anomalies to be detected will be within a defined area.
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Environmental conditions: South Baltic Sea, year-round (24/7), ice-free, but with fog, darkness, and common sea states.
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Target vessel profile: Maximum speed is 5 knots.
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Jamming/spoofing: Intermittent GNSS-contested environment.
Stage 1: Patrol a defined area of dense maritime traffic and follow a specified surface target
How can autonomous Maritime Situational Awareness (MSA) systems perform in defined monitoring and tracking scenarios under degraded environmental and operational conditions?
In this first demonstration phase, the autonomous system will present its core capabilities under controlled conditions in the Baltic Sea (littoral waters) by tracking a specified surface target within a defined area of maritime traffic. The focus is on endurance (operational duration is not defined), navigation, collision avoidance, detection, time to decision, tracking and data transmission.
Mission
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Target engagement: Detect and track a specified surface target within the defined Baltic Sea area.
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Anomaly evaluation and documentation: Assess, log and document a simulated suspicious activity in real time. Time from incident to detection (alert to the demonstration operator), and to correct decision to track will be measured.
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Persistence and mission availability: Demonstrate sustained operation during the mission while maintaining navigation, sensing, communication, and safety functions.
Stage 2: Patrol a defined area of dense maritime traffic and follow a suspicious surface or underwater target
How can autonomous Maritime Situational Awareness (MSA) systems react to unannounced suspicious surface and underwater activities under degraded environmental and operational conditions?
In this second demonstration phase, the autonomous system must operate in an escalated and less predictable mission scenario. The focus shifts to handling unannounced threat profiles, advanced multi-target collision avoidance, and the detection and tracking of both surface and underwater environmental or security threats. The system should provide information that supports rapid decision-making, including whether to continue observation, issue signalling, or notify relevant authorities.
Mission
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Target engagement: Automatically detect, identify, and track an unannounced, unknown suspicious target operating either on the surface or underwater.
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Anomaly detection and documentation: Real-time detection and documentation of suspicious activity, simulated by unknown activities or objects. Time from incident to detection (alert to the demonstration operator), and to correct decision to track will be measured.
Safety features
The basic prerequisite for demonstration is the safe autonomous operation of the system. It must not pose a danger to people, the environment, property, or other autonomous systems at the site. Every vessel must have safety measures to eliminate the risk of a run-away. A safety risk assessment plan must be in place before the start of operation. In addition, a kill switch that causes the vessel to lose propulsion must be implemented.
Regulations regarding the intermediate and closing events will be communicated to participants in advance.