Lane Arrow Recognition for Real-Time Lane Change Guidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current path guide services for vehicles struggle to provide accurate lane change guidance, as they do not effectively account for the direction and presence of other lanes, leading to uncertain navigation.
Innovation Solution
An electronic device and method that acquires images, converts them to top-view format, extracts lane information, and recognizes guiding arrows to determine the necessary lane changes based on vehicle position and road conditions, using feature extraction and comparison with predetermined masks, along with template matching or SVM for accurate direction recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current path guide service is used, then basic navigation is provided, but accurate lane change guidance cannot be provided
Solution Approach 1:
The patent segments the image processing into multiple stages: converting to top-view image, extracting lane display lines, identifying lanes, and extracting guiding information from arrows. This segmentation allows each stage to focus on specific features, improving overall accuracy in lane recognition and guidance information extraction.
Solution Approach 2:
The patent transforms the conventional 2D road image into a top-view 3D perspective representation. This dimensional change provides a more accurate spatial understanding of lane positions and directions, enabling precise lane recognition and guiding information extraction that is not possible with standard 2D images.
2Ease of operation
If lane change guidance is performed according to path regardless of lane direction, then navigation path is provided, but driver must entirely determine traveling direction
Solution Approach 1:
The patent extracts guiding information from arrows present in the road scene, which provide feedback about the actual traveling direction and lane constraints. This feedback mechanism allows the system to understand whether lane changes are permitted or required, automating the decision-making process while maintaining accuracy.
Solution Approach 2:
The system uses the arrows and lane markings visible in the road scene to automatically determine traveling directions and lane change requirements. Rather than requiring driver input, the system self-determines the necessary guidance information by analyzing the road infrastructure elements captured in the image.
3Measurement precision
If feature extraction and mask comparison is used, then accurate direction recognition is achieved, but processing complexity increases
Solution Approach 1:
The patent performs preliminary conversion of the road image to a top-view perspective before extracting features. This preliminary action simplifies subsequent feature extraction and mask comparison operations by providing a standardized view where geometric relationships are preserved and easier to analyze, reducing overall processing complexity.
Solution Approach 2:
The patent uses template matching where pre-defined arrow templates are copied and compared against the extracted features in the image. This copying approach allows for accurate direction recognition by matching known arrow patterns rather than attempting to interpret arbitrary shapes, simplifying the recognition algorithm.
Data Source
AI summary
The present disclosure relates to a method for guiding a path of an electronic device and an electronic device. The method for guiding a path according to the present disclosure includes: acquiring a top-view image; extracting guiding information in a lane from lane information extracted from the top-view image; and guiding a path of a vehicle using the extracted lane information and the guiding information in the lane. According to the present disclosure, it is possible to promote safe driving by guiding a possible traveling direction on the path to a driver in real time through image analysis of a traveling road. In addition, it is possible to provide more detailed path guidance by providing the path guidance reflecting the necessity of lane change by recognizing the lane of the driving path.