Visual Landmark Positioning for Vehicle Navigation Accuracy
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Solution Overview
Problem
Current navigation systems for moving vehicles often face inaccuracies in positioning, particularly in real-world geographical and relative positioning with respect to visual objects, leading to potential navigation errors and safety issues.
Innovation Solution
A computer-implemented method and system that enhances vehicle positioning by analyzing images from onboard imaging devices to identify known visual objects, using global positioning and movement vectors to calculate relative positioning, and applying this enhanced positioning to navigation systems for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional GPS and dead reckoning positioning systems are used, then the system is simple and cost-effective, but the positioning accuracy deteriorates leading to navigation errors
Solution Approach 1:
The patent combines multiple positioning approaches (GPS, dead reckoning, and visual recognition of landmarks) into a unified navigation system. The system integrates data from different sources to calculate enhanced positioning, merging the simplicity of traditional methods with the accuracy of visual recognition to resolve the contradiction between positioning accuracy and system complexity.
Solution Approach 2:
The patent introduces visual landmarks as an intermediary element between the positioning system and the environment. By recognizing known visual objects (landmarks) in captured images, the system obtains reference points that mediate the positioning calculation, improving accuracy without requiring direct complex hardware modifications.
2Measurement precision
If visual image analysis is added to enhance positioning accuracy, then positioning precision improves, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by pre-storing visual data records of known landmarks with their geographical positions. When navigating, the system only needs to match captured images against these pre-existing records rather than processing everything from scratch, significantly reducing real-time processing time while maintaining high positioning accuracy.
Solution Approach 2:
The patent applies partial action by selectively analyzing only relevant portions of captured images - specifically focusing on identifying known visual landmarks rather than processing the entire image content. This partial analysis approach reduces computational load and processing time while still achieving the positioning accuracy goal.
Data Source
AI summary
A method of enhancing positioning of a moving vehicle based on visual identification of visual objects, comprising obtaining from a location sensor a global positioning and a movement vector of a moving vehicle, capturing one or more images using one or more imaging devices mounted on the moving vehicle to depict at least partial view of a surroundings of the moving vehicle, analyzing the image(s) to identify one or more visual objects having a known geographical position obtained according to the global positioning from a visual data record associated with a navigation map, analyzing the image(s) to calculate a relative positioning of the moving vehicle with respect to the identified visual object(s), calculating an enhanced positioning of the moving vehicle based on the relative positioning and applying the enhanced positioning to a navigation system of the moving vehicle.