Route Change Detection via Image Line Recognition
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Solution Overview
Problem
Conventional GPS devices have positional deviations of 20 to 30 meters, making them unable to precisely recognize traveling lanes and guide vehicles back on route after a wrong turn, while high-precision DGPS devices are expensive and impractical for widespread use in autonomous navigation systems.
Innovation Solution
A route change determination system using image recognition information, which includes a GPS module, an image recognition module with line recognition capabilities, a road map storage module, and an information processing module to match line recognition data with road map information, allowing for precise lane change detection and correction without the need for high-precision GPS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional GPS device is used, then the device cost is low, but the positional deviation is 20 to 30 meters making it unable to precisely recognize traveling lanes
Solution Approach 1:
The patent introduces image recognition technology as an intermediary to bridge the gap between low-cost GPS and high-precision positioning. The image recognition module processes images captured by the vehicle's camera to identify lane markings and road features, providing precise positional information that compensates for GPS inaccuracies without requiring expensive DGPS equipment.
Solution Approach 2:
The patent replaces the mechanical/GPS-based positioning system with an optical/image-based recognition system. Instead of relying solely on satellite signals, the system uses camera images processed through recognition algorithms to determine vehicle position and lane information, achieving high precision at lower cost.
2Measurement precision
If a DGPS device is used to achieve high positional precision, then the positional deviation is reduced to about 1 meter, but the device cost rapidly increases making it impractical for widespread use
Solution Approach 1:
The patent creates a virtual copy of high-precision positioning functionality through image recognition. Instead of using expensive hardware to achieve 1 meter precision, the system uses software algorithms that process visual information to replicate the precision effects, making high-accuracy navigation accessible to ordinary vehicles.
Solution Approach 2:
The patent employs inexpensive standard cameras and processing units instead of expensive DGPS receivers. The system uses readily available components (camera, processor) to achieve the same positioning precision that would otherwise require costly specialized equipment, making the solution economically viable for mass deployment.
3Productivity
If conventional GPS devices are used, then the device is simple and inexpensive, but the vehicle cannot immediately guide the destination after departing from the route
Solution Approach 1:
The image recognition module serves as an intermediary that provides real-time feedback on lane deviations and route adherence. By continuously analyzing images of road markings and comparing them with map data, the system can immediately detect when the vehicle departs from the intended route and trigger appropriate guidance instructions, significantly improving responsiveness.
Data Source
AI summary
Provided is a route change determination system and method using image recognition information, which is capable of extracting position information having high precision similar to that of a high-precision DGPS device, while using a low-precision GPS device, in order to determine a change of a traveling route.The route change determination system using image recognition system includes: a GPS module; an image recognition module having a line recognition function; a road map storage module configured to store road map information and route change possible section information for changing a route of a vehicle; a road map receiving module configured to receive the road map information; and an information processing module configured to determine whether the route is changed or not, based on line recognition information acquired through the image recognition module and the route change possible section information.