Circuit Driving Vision ROI Control for Signal Flag Recognition
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Solution Overview
Problem
Drivers navigating circuit areas, such as tracks or racing circuits, face challenges in receiving real-time guidance and safety information due to the lack of effective vehicle infotainment systems that can recognize specific objects and unusual situations within these environments.
Innovation Solution
An apparatus equipped with a location check device, camera, processor, and output device that identifies the vehicle's location within a circuit area, recognizes specific objects like signal flags, and performs image processing to provide real-time guidance and safety alerts, including the use of LIDAR sensors for obstacle detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle infotainment system performs comprehensive image processing on the entire image to recognize all objects, then the recognition accuracy of specific objects like signal flags is improved, but the processing time and computational load increase significantly
Solution Approach 1:
The patent divides the image processing task into two stages: first, perform lightweight processing on the entire image to identify potential regions; second, perform detailed processing only on the identified ROI areas. This segmentation approach maintains recognition accuracy while reducing overall processing time by avoiding exhaustive analysis of the entire image.
Solution Approach 2:
The patent applies different processing quality levels to different regions of the image. High-quality detailed processing is applied only to ROIs containing specific objects like signal flags, while the rest of the image receives minimal processing. This local quality differentiation preserves accuracy for critical objects while reducing total computational load.
2Reliability
If the system processes the entire image in high detail to ensure accurate recognition of all elements, then the reliability of situation assessment is improved, but the energy consumption and processing complexity increase
Solution Approach 1:
The patent performs preliminary low-detail processing on the entire image first to identify potential ROIs, then focuses detailed processing only on those identified regions. This preliminary action ensures that no critical areas are missed while avoiding the complexity of processing the entire image in high detail from the start.
Solution Approach 2:
The patent applies processing at different levels of detail to different portions of the image. Rather than applying uniform high-detail processing everywhere, it applies partial detailed processing only where necessary (in ROIs), achieving sufficient reliability for safety-critical recognition while reducing overall system complexity.
3Productivity
If the system focuses processing resources on specific ROIs to improve recognition speed, then the processing efficiency is improved, but the ability to detect unusual situations in other areas may be reduced
Solution Approach 1:
The patent segments the image into multiple ROIs based on preliminary analysis, allowing parallel processing of different regions. This maintains high processing efficiency while ensuring that unusual situations in any ROI can be detected, as each ROI is processed independently and comprehensively within its scope.
Solution Approach 2:
The ROI identification and processing system serves multiple functions: it identifies specific objects like signal flags, detects unusual situations, and adapts to different circuit track scenarios. By making the ROI processing framework universal and configurable, the system maintains efficiency while preserving comprehensive detection capability across diverse situations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances driver safety and navigation by accurately recognizing signal flags and unusual situations, allowing for guided driving within circuit areas, thereby improving the overall driving experience in high-performance vehicle environments.
Implementation Method 1
a LIDAR sensor that detects and analyzes an obstacle in front and rear of the vehicle
Data Source
AI summary
An apparatus that supports driving of a vehicle may include a location check device that determines whether the vehicle is located within a circuit area, based on location information of the vehicle, a camera device that obtains an image around the vehicle, and a processor that recognizes a specific object from the obtained image based on whether the vehicle is located within the circuit area, sets a region of interest (ROI) with respect to the specific object, and performs image-processing on the ROI preferentially.