Vehicle Positioning Using Image Data and Traffic Light Recognition
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Solution Overview
Problem
Conventional traveling route guide systems face challenges in providing accurate vehicle position information, leading to difficulties in offering detailed guides such as lane changes and speed control, due to position errors and limitations in determining the precise vehicle location.
Innovation Solution
A method using image data and AI to determine the current traveling lane of a vehicle, which includes collecting image data, analyzing it with pre-trained AI models to identify the lane, and providing guides for lane changes and speed control based on traffic light information and the preset route.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional position sensors are used to obtain vehicle position information, then the system is simple and easy to operate, but the position accuracy is low with errors amounting to several meters
Solution Approach 1:
The patent introduces image data as an intermediary to bridge the gap between simple position sensing and accurate location determination. By capturing images of traffic lights and road markings, the system creates a visual reference framework that mediates between the coarse GPS position and the precise vehicle location, enabling accurate positioning without complex hardware
Solution Approach 2:
The patent replaces the purely mechanical/electronic position sensor system with an optical-based positioning approach. By substituting the reliance on position sensors alone with image-based visual recognition of traffic lights and road features, the system achieves higher precision without proportionally increasing device complexity
2Ease of operation
If only rough position information is provided, then the system is simple to operate, but detailed guides such as lane changes and speed control cannot be provided
Solution Approach 1:
The patent segments the guidance information into multiple hierarchical levels: route-level guidance (simple) and lane-level guidance (detailed). By dividing the navigation information into coarse routing directions and fine-grained lane change/speed control instructions, the system maintains ease of operation for overall routing while providing detailed information when needed for specific maneuvers
3Reliability
If the vehicle deviates from the preset route, then a new route should be provided, but conventional systems only detect deviation after traveling outside the route to some extent
Solution Approach 1:
The patent performs preliminary detection of potential route deviations by continuously monitoring image data for road markings and traffic lights that indicate the vehicle's current lane position. By proactively identifying when the vehicle is approaching or entering an incorrect lane before fully deviating from the route, the system can alert the driver early and provide corrective guidance, preventing significant route deviations
Data Source
AI summary
Provided are a method, a device, and a computer program for providing a driving guide by using vehicle position information and signal light information. A method for providing a driving guide by using vehicle position information and signal light information according to various embodiments of the present invention is a method performed by a computing device. The method may comprise the steps of: collecting image data obtained by photographing a space where a vehicle is currently driving; determining a current driving lane of the vehicle by using the image data and vehicle position information; and providing a driving guide for the vehicle by using the current driving lane of the vehicle.