Vehicle Drive Assist Risk Area Setting for Scattered Road Objects
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Solution Overview
Problem
Existing vehicle drive assist systems struggle to accurately set risk areas for drive assist control due to the difficulty in individually recognizing small objects scattered on the road, which can cause wheel skidding or other hazards.
Innovation Solution
A vehicle drive assist apparatus that includes a camera and circuitry to recognize objects, extract dispersion areas where luminance values are dispersed, and set these areas as risk areas where small objects are distributed, using a dispersion area extractor and risk area setter to enhance drive assist control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system uses conventional object recognition methods to identify scattered objects, then individual objects can be detected, but small objects scattered on the road that are difficult to recognize individually cannot be accurately identified
Solution Approach 1:
The patent merges multiple detection approaches by combining conventional object recognition with luminance value dispersion analysis. Instead of relying solely on individual object recognition, the system combines information from recognized objects with luminance dispersion patterns in their surrounding areas to detect scattered small objects that would be invisible to either method alone.
Solution Approach 2:
The patent introduces luminance value dispersion analysis as an intermediary method to bridge the gap between conventional object recognition and scattered object detection. By analyzing luminance dispersion in areas around recognized objects, the system can infer the presence of scattered small objects without directly recognizing each one.
2Reliability
If the system sets risk areas based only on recognized objects, then clear risk zones can be defined, but areas with scattered small objects posing skidding hazards are not identified
Solution Approach 1:
The patent performs preliminary analysis of luminance value dispersion around recognized objects before finalizing risk area boundaries. By预先 analyzing the dispersion patterns and comparing them against threshold values, the system proactively identifies areas with scattered small objects and expands risk zones to include these hazardous areas before drive assist control is applied.
3Measurement precision
If the system analyzes luminance values in detail to detect scattered objects, then detection accuracy improves, but processing complexity and computational load increase
Solution Approach 1:
The patent applies local quality analysis by focusing luminance value calculations only on specific areas around recognized objects rather than analyzing the entire field of view. The system calculates luminance values and dispersion thresholds locally in regions where scattered objects are most likely to occur, reducing overall computational complexity while maintaining detection accuracy.
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
The apparatus effectively sets appropriate risk areas, enabling more robust drive assist control by identifying and avoiding potential hazards such as scattered objects, thereby improving vehicle stability and safety.
Implementation Method 1
extract a dispersion area where luminance values are dispersed around the recognized object
Data Source
AI summary
A vehicle drive assist apparatus is to be applied to a vehicle. The vehicle drive assist apparatus includes an object recognizer, a dispersion area extractor, and a risk area setter. The object recognizer is configured to recognize an object in front of the vehicle. The dispersion area extractor is configured to extract a dispersion area where luminance values are dispersed around the recognized object. The risk area setter is configured to set, as a risk area where small objects are distributed, an area including the dispersion area.