Ship Navigation Sensor Fusion for Collision Risk and Avoidance Paths
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Solution Overview
Problem
Conventional navigation assistance devices on ships lack integration of multiple sensors to provide dynamic and flexible avoidance routes, rely solely on individual navigator judgment, and fail to account for varying sensor availability on different vessels.
Innovation Solution
A method and system using a plurality of sensors, including image and distance detection sensors, to identify objects, calculate collision risk, and determine avoidance paths, integrating data from Radar, Lidar, AIS, and other sensors to enhance navigation assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors (Radar, Lidar, AIS, GPS) are installed to enhance navigation assistance, then object identification accuracy and collision risk prediction improve, but device complexity and installation cost increase
Solution Approach 1:
The patent merges data from multiple sensors (Radar, Lidar, AIS, GPS) into a unified navigation assistance system. The processor integrates information from all sensors to comprehensively identify objects and calculate collision risk, achieving improved measurement precision through sensor fusion while managing the complexity through centralized processing.
Solution Approach 2:
The navigation assistance device is designed with multi-functionality to handle various sensor types and provide multiple functions including object identification, collision risk prediction, and avoidance path derivation. This universal design allows the system to adapt to different sensor configurations without requiring separate specialized systems for each sensor type.
2Reliability
If sensor data integration and multiple sensor types are implemented, then collision risk prediction and avoidance path derivation improve, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-processing sensor data and pre-calculating collision risk parameters before actual navigation decisions are needed. Object identification and risk assessment are performed in advance based on continuous sensor input, allowing for faster response when navigation actions are required while maintaining high reliability.
Solution Approach 2:
The navigation assistance system operates continuously, with the processor continuously integrating sensor data and updating collision risk assessments. This continuous operation allows the system to maintain current situational awareness without requiring repeated intensive processing, thereby reducing overall computational load while maintaining high reliability through constant monitoring.
3Ease of operation
If the system provides comprehensive navigation assistance functions, then navigation convenience and safety improve, but ease of operation decreases due to complex interface requirements
Solution Approach 1:
The navigation assistance system provides self-service functionality by automatically performing object identification, collision risk calculation, and avoidance path derivation without requiring manual intervention. The system autonomously processes sensor data and presents navigation recommendations, reducing the operational burden on the navigator while maintaining ease of use through automated decision support.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring sensor data, updating collision risk assessments, and adjusting avoidance paths based on real-time conditions. This feedback loop allows the system to adapt to changing situations automatically, providing convenient navigation assistance that responds to current conditions without requiring complex manual input or reconfiguration.
4Adaptability or versatility
If the system determines which sensors are installed and integrates data accordingly, then adaptability to different vessel configurations improves, but device complexity and configuration requirements increase
Solution Approach 1:
The system performs preliminary detection to identify which sensors are installed on the vessel before beginning navigation assistance operations. By pre-determining sensor availability and configuring the appropriate data integration parameters in advance, the system adapts to different vessel configurations without requiring complex real-time detection or reconfiguration during navigation.
Solution Approach 2:
The navigation assistance system dynamically adjusts its operational parameters based on which sensors are detected and available. By changing processing parameters, data integration methods, and functional capabilities according to sensor configuration, the system achieves high adaptability to different vessel types while managing complexity through parameter-based configuration rather than structural complexity.
Data Source
AI summary
A navigation assistance system using a plurality of sensors according to an aspect of the present disclosure includes a display configured to provide a monitoring image, a sensor unit including at least one sensor, a memory in which at least one program is stored, and at least one processor configured to execute the at least one program, wherein the at least one processor obtains image frame information of an object using a first sensor, calculates information about the object using a second sensor, calculates a risk of collision between a host ship and the object by fusing the image frame information of the object and the information about the object, and determines an avoidance path based on the calculated collision risk.