Vehicle Visibility Determination Using Surrounding Vehicle Data
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Solution Overview
Problem
Existing vehicle visibility determination systems struggle to distinguish between low visibility conditions and the presence of attached matter on vehicle windows or lenses, leading to inaccurate assessments of peripheral visibility.
Innovation Solution
A determination device that utilizes both first image information from a vehicle's camera and additional information about the visibility state from surrounding vehicles or environmental data to differentiate between low visibility and attached matter on transparent members like windows, using image recognition rates and visibility standards for accurate differentiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image information from vehicle-mounted camera is used to determine visibility, then visibility assessment is obtained, but attached matter on window or lens causes false low visibility determination
Solution Approach 1:
The patent introduces a comparison mechanism as an intermediary between the image-based visibility determination and the final result. By comparing image recognition rates with predetermined thresholds and using multiple determination criteria, the system mediates the conflict between detecting actual low visibility and avoiding false positives from attached matter on windows or lenses.
Solution Approach 2:
The patent applies partial action by using multiple determination criteria rather than relying solely on image information. It combines image recognition rate analysis with predetermined threshold comparisons and additional determination conditions, applying only the necessary level of verification to distinguish true low visibility from artifacts caused by attached matter.
2Device complexity
If only image information is used for visibility determination, then the system is simple, but it cannot distinguish between low visibility and attached matter on transparent members
Solution Approach 1:
The patent segments the visibility determination process into multiple independent evaluation stages. It divides the determination into image recognition rate calculation, threshold comparison, additional determination criteria evaluation, and final synthesis, allowing each segment to contribute to the overall accuracy without requiring complete system redesign.
Solution Approach 2:
The patent implements partial action by adding only the necessary additional determination criteria to the basic image-based system. Rather than completely redesigning the system, it supplements the existing image information approach with threshold comparisons and additional evaluation conditions, achieving improved precision with minimal added complexity.
3Measurement precision
If multiple determination criteria are used to improve accuracy, then visibility assessment becomes more precise, but the determination process becomes more complex
Solution Approach 1:
The patent segments the multi-criteria determination process into distinct, modular evaluation steps. Each criterion (image recognition rate, threshold comparison, additional determination conditions) is processed as a separate segment, allowing for systematic evaluation and reducing the cognitive load of managing multiple criteria simultaneously.
Solution Approach 2:
The patent applies dynamics by making the determination process adaptive rather than static. The system dynamically evaluates multiple criteria and synthesizes results based on their relative importance and consistency, allowing the determination process to flexibly adjust to different driving conditions and image quality levels.
Data Source
AI summary
A determination device according to an embodiment of the disclosure includes a vehicle extraction unit that determines whether a predetermined attached matter is on a transparent member of a vehicle, based on first image information that is about a periphery of the vehicle and that is picked up through the transparent member by a camera mounted on the vehicle and second image information that is about a periphery of another vehicle surrounding the vehicle and that is picked up by a camera mounted on the other vehicle.