Intersection Driving Direction Using Border-Based Route Prediction
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Solution Overview
Problem
Existing navigation systems often provide incorrect driving directions at intersections due to curvature in the SD road network model, leading to confusion and inaccurate voice broadcasts.
Innovation Solution
A method for determining driving directions at intersections by obtaining a driving route, identifying target intersections, and predicting entry, travel, and exit directions using border information, without relying on entry and exit links, and utilizing neural networks or predefined models to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the SD road network model with entry and exit links is used to determine driving directions, then the navigation system can provide route guidance, but the curvature in the road network model causes incorrect driving directions to be provided at intersections
Solution Approach 1:
The patent extracts and removes the problematic entry and exit links from the SD road network model that cause curvature errors. By eliminating these specific components that lead to incorrect driving directions while retaining the essential intersection information, the system achieves more accurate direction determination without the harmful curvature effects.
Solution Approach 2:
The patent changes the parameters used for direction determination from those based on curved entry/exit links to parameters based on straight border lines of intersections. By using border information and calculating directions relative to these straight boundaries rather than following curved road centerlines, the system corrects the directional accuracy while simplifying the geometric complexity.
2Loss of information
If the electronic map provides direction guidance at intersections, then users can receive navigation instructions, but the indicated direction often differs from the actual driving direction causing confusion
Solution Approach 1:
The patent replaces the traditional mechanical approach of following curved road centerlines with a new method based on geometric border calculations. By substituting the curved path-based direction calculation with straight-line border-based calculations, the system eliminates the curvature error that causes mismatch between indicated and actual driving directions.
Solution Approach 2:
The patent creates an idealized geometric representation of intersections using straight border lines that accurately reflect the true driving direction. This simplified geometric model serves as a correct reference that copies only the essential directional information without the distorting curvature effects present in the original road network model.
Data Source
AI summary
A method for determining a driving direction is disclosed. The method includes: obtaining a driving route for a vehicle; determining a target intersection in the driving route, and obtaining border information about intersection range borders defining a range of the target intersection; predicting, based on the driving route and the border information corresponding to the target intersection, a first direction for the vehicle to enter the target intersection, a second direction for the vehicle to travel within the target intersection, and a third direction for the vehicle to leave the target intersection; and determining, based on the first direction, the second direction, and the third direction, a target driving direction for the vehicle to pass the target intersection.