Ship-Harbor Map Matching for Autonomous Vehicle Transfer
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing autonomous driving systems face challenges in seamlessly transitioning an autonomous driving vehicle from a ship to a harbor terminal, as there is no effective method to connect a ship map to a harbor map, hindering safe and stable navigation.
Innovation Solution
A map matching apparatus and method that includes extracting and matching ship and harbor coordinates, adjusting for wharf inclinations, and aligning ship and harbor maps to enable precise navigation of autonomous vehicles between harbors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a ship map of a moving ship is to be connected to a harbor map of a harbor terminal for autonomous vehicle transfer, then the adaptability of the navigation system is improved, but the device complexity increases due to the need for coordinate matching between two different map systems
Solution Approach 1:
The patent introduces an intermediary coordinate matching system that acts as a mediator between the ship map and harbor map. The matching unit compares ship center coordinates with wharf location coordinates to establish a transformation relationship, enabling the two different map systems to be connected without direct complex integration between them.
Solution Approach 2:
The patent replaces manual coordinate alignment methods with an automated coordinate matching algorithm. The matching unit automatically compares coordinates and determines transformation parameters, substituting manual mechanical adjustment with computational methods that are more precise and efficient.
2Measurement precision
If manual coordinate matching between ship map and harbor map is performed, then the measurement precision of coordinate alignment is improved, but the loss of time increases due to manual operation requirements
Solution Approach 1:
The coordinate matching system performs self-service by automatically comparing ship center coordinates with wharf location coordinates and determining transformation parameters without external intervention. The matching unit autonomously completes the coordinate alignment process, eliminating the need for manual operation while maintaining high precision.
Solution Approach 2:
The patent replaces manual coordinate matching operations with automated computational algorithms. The matching unit uses coordinate comparison and transformation calculations to achieve precise alignment instantly, substituting time-consuming manual procedures with rapid automated processing.
3Reliability
If the ship map and harbor map are to be matched using multiple wharf location coordinates, then the reliability of the matching result is improved, but the device complexity increases due to additional processing requirements
Solution Approach 1:
The patent segments the coordinate matching process into distinct functional units: a wharf location coordinate extraction unit that processes individual wharf coordinates, and a matching unit that compares these with ship center coordinates. This segmentation allows multiple wharf locations to be processed systematically, improving reliability through multiple data points while managing complexity through modular architecture.
Solution Approach 2:
The patent uses multiple wharf location coordinates (excessive action) to improve the reliability of matching beyond what a single coordinate would provide. By comparing ship center coordinates with multiple known wharf locations, the system achieves more robust and reliable map matching, accepting the additional processing requirements as necessary for high reliability.
Data Source
AI summary
The present embodiment provides a method and an apparatus for matching a ship map of a moving ship and a harbor map of a harbor terminal, capable of connecting the ship map to the harbor map, in transferring an autonomous driving vehicle using a ship from a harbor to another harbor, in order to use the harbor map and the ship map, similarly to control of the autonomous driving vehicle on a road.