Navigation Device Road Shape Data Correction via White Line Detection
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Solution Overview
Problem
Current navigation devices face challenges in accurately displaying route guidance objects on photographed images due to errors in road shape data, leading to misalignment and potential wrong turns, which requires highly dense and accurate data that is costly and labor-intensive to create.
Innovation Solution
A navigation device that includes a traveling zone boundary line detection section, a road shape data correction section, and a route object generation section to correct road shape data based on detected traveling zone boundary lines, ensuring accurate alignment of route guidance objects on the photographed image, even with current data accuracy levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If highly dense and highly accurate road shape data is used, then the route guidance object can be displayed in alignment with the road in the photographed image, but it consumes high costs and labor time to create such data
Solution Approach 1:
The navigation device uses detected road white lines as feedback to correct deviations in road shape data. The detection section identifies actual road positions from photographed images, and the correction section adjusts the road shape data based on these detections, creating a closed-loop system that continuously improves alignment accuracy without requiring manually created high-precision data
Solution Approach 2:
The system performs self-correction by using its own detection capabilities to identify and fix errors in the road shape data. Rather than relying on externally created high-precision data, the device automatically adjusts its internal data representation to match observed reality, making the system self-improving
2Ease of operation
If standard road shape data with errors is used, then the navigation device can operate with current data accuracy levels, but the route guidance object becomes out of alignment with the photographed image
Solution Approach 1:
The detection of road white lines acts as an intermediary mechanism between the imperfect road shape data and the final route guidance display. By introducing this intermediate detection step, the system can bridge the gap between low-precision data and high-precision visual alignment requirements
Data Source
AI summary
A navigation device displays, on a screen, a route guidance object indicating a route along which the vehicle is to travel, and includes: an image pickup section that obtains a photographed image ahead of the vehicle; a white line detection section that detects a road white line in the photographed image; a map information storage section that stores map information including road shape data which represents the road shape; a road shape data correction section that corrects the road shape data, based on a detection result of the road white line, such that the route guidance object is displayed along the road white line; a route guidance object generation section that generates the route guidance object, based on the corrected road shape data; and the display section that displays the generated route guidance object on the screen.