Explore the technology behind autonomous and semi-autonomous ships.
## Autonomy Levels in Shipping
IMO Maritime Autonomous Surface Ships (MASS) Levels:
Degree 1: Crew on board, AI assists decisions - Collision avoidance alerts, optimal routing
Degree 2: Remotely controlled, crew on board - Shore-based control with human backup
Degree 3: Remotely controlled, no crew - Full remote operation from control center
Degree 4: Fully autonomous - AI makes all navigation decisions
## Key Technologies
### Sensor Fusion - Radar (long range, weather penetration) - LiDAR (precise distance measurement) - Cameras (visual identification) - AIS (vessel tracking) - GPS/GNSS (positioning) - Sonar (underwater obstacles)
### Collision Avoidance (COLREGS) ```python class COLREGSNavigator: def assess_situation(self, own_ship, targets): for target in targets: cpa = self.calculate_closest_approach(own_ship, target) if cpa.distance < safety_threshold: situation = self.classify_encounter(own_ship, target) action = self.determine_action(situation) return ManeuverPlan(action, urgency=cpa.time) return None ```
## Real-World Projects - Yara Birkeland: World's first autonomous container ship - Mayflower Autonomous Ship: AI-powered transatlantic crossing - Sea Machines: Autonomous tugboat operations