KOSCO AS
Ship unmanned navigation system
Ship unmanned navigation system
KOSCO specializes in the development of next-generation autonomous navigation systems, engineered to redefine maritime operations through the seamless integration of AI, IoT, sensor fusion, and real-time analytics.
Our proprietary system architecture leverages multi-layered situational awareness—combining LiDAR, radar, AIS, and high-resolution imaging—to enable fully autonomous vessel control, obstacle avoidance, and optimized route planning under dynamic sea conditions.
By embedding edge AI computing and machine learning algorithms directly into the ship’s control systems, we ensure real-time decision-making capabilities and adaptive behavior, even in complex maritime environments.
Our platforms are further enhanced by cloud-based remote monitoring, predictive maintenance modules, and cybersecurity frameworks compliant with IMO and IACS standards.
Designed to improve operational safety, fuel efficiency, and carbon footprint reduction, KOSCO’s unmanned navigation systems represent a critical leap toward fully autonomous, smart, and sustainable shipping.
Using sensor fusion, basic AIS data can be combined with radar, acoustic, visual, and other sensor inputs to create a more complete understanding of a ship’s surroundings.
Typical display of AIS data in the control room of a ship
Autonomous Navigation Systems
Development of state-of-the-art navigation software and hardware solutions for unmanned ships.
Integration of AI, IoT, and real-time data analytics for precise and reliable maritime operations.
Remote Monitoring and Control
Real-time remote management systems for monitoring ship status and operations from shore-based control centers.
Enhanced decision-making support through advanced data visualization and predictive analytics.
Collision Avoidance Systems
Implementation of intelligent obstacle detection and avoidance technologies to minimize accidents at sea.
Utilization of radar, LIDAR, and AI-driven algorithms for comprehensive situational awareness.
Environmental Sustainability Solutions
Development of fuel-efficient navigation strategies to reduce carbon emissions.
Integration of renewable energy sources and green technologies to support eco-friendly operations.
Consulting and Support Services
Tailored consulting services for maritime companies transitioning to autonomous systems.
Comprehensive technical support and regular system upgrades to ensure peak performance.
To lead the maritime industry into a future of autonomous innovation, fostering safer seas, streamlined logistics, and a sustainable environment.
KOSCO Level 4 Autonomous Surface Vessel
Beyond Navigation – Toward Autonomous Judgment
KOSCO’s next-generation Level 4 Unmanned Surface Vessel (USV) integrates advanced autonomous navigation algorithms with a multi-sensor fusion control system. Designed to operate independently in complex maritime environments, this vessel performs with human-equivalent levels of decision-making, positioning itself as a flagship model for smart fleet operations of the future.
Model Name
KOSCO USV-L4 (Unmanned Surface Vessel – Level 4)
Hull Length
23.5 meters.
Beam (Width)
5.8 meters
Displacement
Approx. 90 tons (light condition)
Max Speed
25 knots.
Cruising Speed
18 knots
Autonomous Range
Approx. 2,500 NM (without refueling)
Autonomy Level
Level 4 (AI-based COLREG interpretation)
Control Modes
Full Autonomous / Remote Override
Navigation System
RTK GNSS + INS with multi-sensor fusion
Sensors Equipped
AIS, ARPA Radar, LiDAR, HD Cameras, Thermal Vision, Acoustic Sensors
Communication
SATCOM (Ka/L-band), LTE, Marine RF Link
Propulsion System
Diesel-electric hybrid (BMS integrated)
Operational Modes
Fully unmanned / minimal crew for test scenarios
Core Functional Capabilities
1. AI-Based COLREG Decision System
- Hybrid rule-based and machine learning logic for right-of-way and collision avoidance
- Effective handling of ambiguous scenarios in narrow passages and congested waters
2. 360° Situational Awareness via Sensor Fusion
- AIS, radar, LiDAR, vision, thermal, and acoustic sensors
- Accurate object tracking even in low visibility, nighttime, or adverse weather conditions
3. Autonomous Route Planning & Evasive Maneuvering
- Real-time trajectory prediction and multi-layer path simulation
- Weather-adaptive rerouting and behavior modeling of nearby vessels
4. Remote Monitoring & Manual Override
- Ground station and mothership command interface
- Encrypted live video feed and telemetry for emergency intervention
Trial & Validation Roadmap
- Phase 1: Low-traffic open water testing → scaling to dense vessel crossings
- Phase 2: Evaluation in narrow straits, port approaches, and controlled marine corridors
- Phase 3: Stress-testing in unexpected conditions (e.g., abrupt weather, signal loss, rule ambiguity)
Technology Positioning
Readiness Level
Among the most advanced COLREG AI systems (hybrid inference model)
Differentiator
Autonomous systems focused on judgment and decision-making, not just path tracking
Application Scope
Maritime patrol, reconnaissance, search & rescue, smart fleet systems
Certification Path
Designed for IMO MASS compliance; real-world test data under regulatory review