Road Marking Coordinate Calibration for Curved Road Accuracy
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Solution Overview
Problem
Current methods for road marking are inefficient and inaccurate due to the need for manual labor and the limitations of GPS navigation and satellite imagery in capturing the complex curvature of roads, leading to low accuracy in road marking data.
Innovation Solution
A method and device that calibrate road marking data by importing coordinates of calibration references into an electronic image of the road, determining differences between these references and corresponding points, and performing calibration when necessary to improve accuracy, using displacement vectors and interpolation techniques to correct coordinates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement and marking methods are used, then road marking can be performed on existing roads, but the process requires multiple workers, reduces safety, and slows down the marking speed
Solution Approach 1:
The patent replaces manual mechanical measurement and marking operations with an automated system that uses mobile terminal photography, coordinate extraction, and automated calculation to determine road marking positions. The system substitutes human labor with electronic devices and computational algorithms, achieving both high precision and improved productivity.
2Adaptability or versatility
If GPS navigation technology is used to obtain road shape information, then marking can be performed on multi-lane roads, but the curved roads and varying curvature make it difficult to obtain accurate shape information
Solution Approach 1:
The patent uses photography to create a visual copy of the road scene, then extracts coordinate information from the photographed images. By capturing the actual road geometry through photography and using coordinate transformation based on photographed reference points, the system accurately reproduces the road's curved shape and characteristics without relying on pre-stored GPS data.
Solution Approach 2:
The patent transforms coordinate systems between different reference frames (device coordinate system to map coordinate system) and adjusts parameters based on photographed calibration points. This parameter transformation and calibration process enables accurate representation of curved roads by dynamically adapting to the actual road geometry captured in photographs.
3Area of stationary object
If satellite photography technology is used, then aerial views can be obtained, but the pixel resolution is limited and the spherical lens causes curvature that requires calibration, resulting in offset and deformation in satellite maps
Solution Approach 1:
The patent introduces photographed calibration references as an intermediary between the satellite map and the actual road. By capturing images of known reference objects (such as road signs, buildings, or markers) with the mobile terminal and using their coordinates for calibration, the system corrects the offset and deformation in satellite maps, achieving accurate positioning without being limited by satellite image resolution or spherical distortion.
Data Source
AI summary
A method for obtaining road marking data and a device thereof are provided. The method includes steps of: obtaining coordinates of calibration references on a to-be-marked road; importing the coordinates of the calibration references into an electronic image of the to-be-marked road; determining, according to a difference between the coordinates of the calibration references and coordinates of to-be-calibrated points corresponding to the calibration references in a road image included in the electronic image, whether to perform a calibration on the coordinates of the to-be-calibrated points; and when the difference is greater than a threshold, performing the calibration on the coordinates of the to-be-calibrated points, and using calibrated coordinates of the to-be-calibrated points as road marking data. By applying the present disclosure, the accuracy of road marking data can be improved.