Junction Image Synthesis for Reliable Vehicle Navigation
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Solution Overview
Problem
Existing vehicle navigation systems rely on navigation map data or vehicle-mounted cameras that may not provide complete image information of junctions, leading to potential safety and driving difficulty issues.
Innovation Solution
A method for synthesizing vehicle navigation images by acquiring and processing sampling images, determining and mapping coordinates, and superimposing them onto a reference coordinate system to create a comprehensive junction image, even in the absence of complete navigation map data or camera coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation map data or vehicle-mounted camera image information is used for driving assistance, then the driving assistance function is provided, but the image information of the junction may be incomplete, affecting safety and driving difficulty
Solution Approach 1:
The patent segments the junction observation task into multiple sampling images taken at different positions along the vehicle's trajectory. Instead of relying on a single comprehensive image that may not exist, the system divides the junction into multiple viewable segments and captures them sequentially as the vehicle moves, ensuring complete coverage of the junction area.
Solution Approach 2:
The system performs preliminary actions by pre-acquiring sampling images at multiple positions before making the final driving decision. The vehicle captures images at several predetermined positions along its trajectory in advance, then synthesizes these images to form a complete junction view before providing driving assistance, ensuring all necessary information is gathered beforehand.
2Loss of information
If multiple sampling images are acquired and synthesized to create a complete junction image, then the junction image completeness is improved, but the system complexity increases due to coordinate mapping and image synthesis processing
Solution Approach 1:
The patent introduces an intermediate coordinate system as a mediator between the vehicle's movement and the junction's fixed coordinate system. This intermediate system simplifies the transformation process by first mapping sampling images to the intermediate coordinate system based on vehicle position and orientation, then transforming to the junction coordinate system, breaking down a complex single-step transformation into manageable intermediate steps.
Solution Approach 2:
The system creates coordinate copies by establishing corresponding relationships between multiple coordinate systems (vehicle coordinate system, intermediate coordinate system, and junction coordinate system). Each sampling image is accompanied by its coordinate information, which is copied and transformed across different coordinate systems to enable accurate synthesis without requiring complex real-time calculations.
3Area of stationary object
If sampling images are captured at multiple positions along the vehicle trajectory, then the coverage area is improved, but the acquisition time increases due to multiple sampling points
Solution Approach 1:
The patent implements periodic action by capturing sampling images at regularly spaced positions along the vehicle's trajectory. The vehicle acquires images at predetermined intervals or at specific numbered positions (first, second, third sampling images) as it moves through the junction, transforming continuous image acquisition into discrete periodic sampling that reduces overall acquisition time while maintaining complete coverage.
Data Source
AI summary
A vehicle navigation image synthesis method includes: acquiring M sampling images; storing N sampling images, a value of N being determined according to a speed of a target vehicle, a position of the target vehicle, and a following distance of the target vehicle; determining a plurality of sampling points of each sampling image of the N sampling images; determining first coordinates of each sampling point of the plurality of sampling points of each sampling image; mapping the first coordinates of each to the reference coordinate system to determine a second coordinate of each sampling point; and synthesizing sampling points of the N sampling images according to second coordinates of the sampling points of the N sampling images to determine a target image.