Driving Support Apparatus Smoke Detection Density Analysis
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Solution Overview
Problem
Existing driving support systems face challenges in providing appropriate support when detecting smoke-like objects, such as moisture or exhaust gas, as they may trigger unnecessary braking or alarm, causing driver discomfort and safety issues.
Innovation Solution
A driving support apparatus equipped with a stereo camera system that processes images to detect objects, determines if they are smoke-like objects by analyzing range information distribution, and adjusts the support operation level based on attribute information, such as density, to decide on the appropriate driving assistance, including pre-crash brake control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driving support system detects objects using a camera to enable collision avoidance, then the safety and collision prevention capability is improved, but false detection of smoke-like objects (moisture, exhaust gas) causes unnecessary braking and driver discomfort
Solution Approach 1:
The patent analyzes color information and hue distribution of detected objects to distinguish smoke-like objects from solid objects. Smoke-like objects exhibit different color characteristics and hue distribution patterns compared to solid objects, allowing the system to differentiate between actual collision risks and environmental phenomena like moisture or exhaust gas
Solution Approach 2:
The patent introduces additional analysis parameters including hue distribution width, color saturation, and brightness distribution to enhance object classification. By monitoring these parameter variations, the system can identify smoke-like objects based on their distinctive optical properties and adjust the driving support operation accordingly
2Reliability
If the system applies automatic braking control upon detecting any object to ensure safety, then the collision avoidance capability is improved, but the driver's natural reaction time and control are reduced
Solution Approach 1:
The patent dynamically adjusts the driving support operation level based on object classification results. For smoke-like objects, the system provides warning information to the driver while maintaining driver control autonomy, whereas for solid objects posing collision risks, the system can escalate to more intensive interventions including automatic braking
3Reliability
If the driving support system operates at a high level of automation to provide comprehensive safety support, then the safety monitoring capability is improved, but the system complexity and processing requirements increase
Solution Approach 1:
The patent segments the image processing task into distinct analysis stages: initial object detection, color information extraction, hue distribution analysis, and classification decision-making. This segmentation allows the system to process visual information efficiently by breaking down complex analysis into manageable steps with clear decision points
Data Source
AI summary
There is provided a driving support apparatus. A recognition controller determines whether an object detected by processing a captured image by an object detection unit is a smoke-like object or not in a smoke-like object determination unit. When the detected object is determined to be the smoke-like object, the recognition controller checks a range distribution in a region of the smoke-like object, adds the result as attribute information of “density”, and transmits the resultant to a controller. The controller decides in a support operation level decision unit whether a pre-crash brake control can be executed or not and an intensity of an operation based on the attribute information of the smoke-like object. Thus, even if the smoke-like object is detected, an appropriate driving support process according to the condition can be executed.