Marine Collision Avoidance Logic for Projected Course Visualization
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Solution Overview
Problem
Conventional marine systems provide belated collision alerts, which is inadequate for novice users and rising safety demands in a marine environment where navigation assistance is critical.
Innovation Solution
A collision avoidance system that includes logic devices communicating with sensors like ranging, speed, position, and orientation sensors to determine projected courses and avoidance areas, generating image data for intuitive navigation and control of mobile structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional marine systems are used, then the system complexity is low, but the collision alert timing is delayed and insufficient for novice users
Solution Approach 1:
The system calculates and displays projected courses and potential collision points before collisions actually occur. The logic device determines where mobile targets are headed and renders this information in advance, allowing users to take preventive action rather than reacting to belated alerts.
Solution Approach 2:
The system introduces an intermediary processing layer that receives data from multiple sensors (AIS, radar, sonar), processes this information through logic devices to determine projected courses and collision risks, and presents synthesized guidance to the user. This intermediary layer transforms complex sensor data into intuitive visual guidance without requiring the user to directly manage the complexity of multiple sensor systems.
2Loss of information
If sophisticated navigation assistance is provided, then the navigation information quality improves, but the device complexity increases
Solution Approach 1:
The logic device performs multiple functions: it processes data from various sensor types (AIS, radar, sonar), determines projected courses of multiple mobile targets, calculates potential collision points, and renders comprehensive visual guidance. This multi-functional approach consolidates what would otherwise require separate systems into a single integrated device.
Solution Approach 2:
The system creates visual representations (copies) of the marine environment and target trajectories on display screens. Instead of requiring users to mentally process raw sensor data, the system generates graphical copies showing projected courses, collision points, and avoidance recommendations, making complex navigation information intuitively accessible.
3Reliability
If projected course and avoidance area calculations are performed, then the collision avoidance capability improves, but the processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary calculations of projected courses and potential collision points based on current target positions and velocities. By determining where targets are headed rather than just where they are, the system enables proactive collision avoidance while managing processing loads through forward-looking computations.
Solution Approach 2:
The logic device automatically processes sensor data, determines projected courses, identifies collision risks, and generates avoidance guidance without requiring manual intervention. The system serves itself by continuously monitoring and processing navigation data, reducing the need for complex user-side processing while maintaining high collision avoidance capability.
Data Source
AI summary
Techniques are disclosed for systems and methods to generate image data based on avoidance areas for mobile targets and/or mobile structures. A collision avoidance system includes a logic device configured to communicate with a ranging sensor and/or a speed, position, and/or orientation sensor (SPOS) mounted to a mobile structure. The logic device may be configured to determine a projected course for a mobile target detected by the ranging sensor. The system may determine one or more avoidance areas based, at least in part, on the projected course for the mobile target and a speed, position, and/or orientation of the mobile structure detected by the SPOS. The system may generate image data based, at least in part, on the projected course, the one or more avoidance areas, and the detected orientation and/or position.