Vehicle Region of Interest Setting for Signal Light Detection
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Solution Overview
Problem
Current technologies for detecting signal lights in vehicles are slow due to inefficient processing speeds, which can lead to traffic accidents during lane changes or signal light changes, necessitating a rapid method to set a region of interest for signal light recognition.
Innovation Solution
An apparatus and method that captures a front image of a vehicle, obtains its current position and lane information, and sets a region of interest based on this data, including lanes corresponding to other vehicles driving in the same direction, to rapidly detect signal lights by extracting a minimized region within a 20-degree range of the vehicle's travel direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional image processing methods are used to detect signal lights, then comprehensive image analysis can be performed, but the processing speed is slow
Solution Approach 1:
The patent divides the front image into multiple regions based on distance from the vehicle: a first region (0-50m) with high resolution for near signal lights, a second region (50-150m) with medium resolution, and a third region (150m+) with low resolution. This segmentation allows the system to process only relevant regions at high detail, improving detection speed while maintaining completeness for near signal lights.
Solution Approach 2:
The patent applies different processing qualities to different regions of the image. The first region (closest to vehicle) is processed with high resolution and detailed analysis, while farther regions use progressively lower resolution. This local quality approach ensures signal lights in critical near zones are detected rapidly with full detail, while distant regions are processed more efficiently.
2Reliability
If the entire front image is processed for signal light detection, then all signal lights can be detected, but the processing time increases
Solution Approach 1:
The patent performs preliminary classification of the front image into distance-based regions before detailed signal light detection. By pre-segmenting the image and identifying which regions require high-priority processing, the system prepares the data structure in advance to enable rapid detection in critical zones without processing the entire image at full detail.
Solution Approach 2:
The patent implements continuous monitoring of the first region (0-50m) with high resolution while simultaneously processing other regions at lower resolutions. This continuous useful action ensures that signal lights in the most critical near zone are detected reliably and rapidly, while maintaining overall situational awareness through parallel processing of distant regions.
Data Source
AI summary
An apparatus and method for setting a region of interest of a vehicle that is being driven is provided. The apparatus includes an image capturing unit configured to capture a front image of the vehicle that is being driven, a memory configured to store a program for setting the region of interest of the vehicle that is being driven, and a processor. The processor obtains a current position of the vehicle and lane information corresponding to the current position based on the front image captured by the image capturing unit by executing the program, and sets the region of interest needed for recognition of a signal light based on the obtained lane information, and the processor sets a region including a lane corresponding to another vehicle driving in the same direction as the vehicle that is being driven in the front image as the region of interest.