Vehicle Camera Adhesion Detection Under Low-Light and High-Speed Conditions
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Solution Overview
Problem
Conventional extraneous-matter detecting apparatuses for vehicle cameras face challenges in accurately determining adhesion due to varying vehicle travel states, particularly in low-light conditions or high-speed scenarios, leading to potential erroneous determinations.
Innovation Solution
An extraneous-matter detecting apparatus that sets divided regions in a captured image and computes a representative luminance value, using vehicle speed and luminance to determine a transition state, thereby controlling the adhesion state information to prevent erroneous determinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If adhesion determination is executed based on luminance value in divided regions, then extraneous matter detection capability is improved, but erroneous determination occurs in low-light conditions or high-speed scenarios
Solution Approach 1:
The patent applies dynamics by making the determination state adjustable based on vehicle speed and luminance conditions. The system transitions between different determination states (first state for high reliability, second state for high precision) according to real-time vehicle conditions, allowing the detection criteria to adapt dynamically rather than remaining static.
Solution Approach 2:
The patent changes parameters by using vehicle speed and luminance value as variable parameters to determine the determination state. When vehicle speed exceeds a threshold or luminance falls below a threshold, the system switches to the first determination state with more stringent criteria, otherwise it uses the second state for higher precision detection.
2Reliability
If detection criteria are made stringent to reduce erroneous determination, then determination reliability is improved, but detection precision in normal conditions deteriorates
Solution Approach 1:
The system dynamically adjusts detection stringency based on vehicle conditions. In normal conditions (low vehicle speed, adequate luminance), the system uses the second determination state with less stringent criteria for high precision. When conditions deteriorate (high speed, low light), it switches to the first determination state with stringent criteria for high reliability.
Solution Approach 2:
The system performs preliminary assessment of vehicle speed and luminance conditions before executing adhesion determination. Based on this preliminary evaluation, it pre-selects the appropriate determination state, ensuring that the correct detection criteria are applied before the actual detection occurs.
3Adaptability or versatility
If detection is performed in all conditions, then detection coverage is improved, but false positives increase in challenging environments
Solution Approach 1:
The system changes detection parameters based on vehicle speed and luminance thresholds. When vehicle speed exceeds a first threshold or luminance falls below a second threshold, the system switches to the first determination state that prevents false positives in challenging environments, while maintaining detection capability in normal conditions.
Solution Approach 2:
The determination state acts as an intermediary between the raw detection data and the final adhesion conclusion. It mediates the detection process by applying different evaluation criteria based on vehicle conditions, filtering out false positives while preserving true detections across varying environments.
Data Source
AI summary
An extraneous-matter detecting apparatus according to an embodiment includes a region setting unit, a computing unit, and a state setting unit. The region setting unit sets, for a captured image captured by an image capturing device provided in a vehicle, a plurality of divided regions. The computing unit computes a representative value of luminance in a target region for detecting an adhesion of an extraneous matter. The target region includes the plurality of divided regions. The state setting unit sets, based on a vehicle speed and the representative value of luminance in the target region, a transition state of information that indicates an adhesion state of an extraneous matter in the divided region.