Object Position Extraction for Low-Reflectivity Detection
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Solution Overview
Problem
Existing object detection devices face challenges in accurately detecting objects with small reflection surfaces due to insufficient ranging accuracy, leading to erroneous detection of non-target objects like road surfaces when sensitivity adjustments are made.
Innovation Solution
An object detection device that employs an estimation circuit to estimate the position of objects multiple times using range finders and imaging sensors, accumulates these positions, and extracts a refined position using an extraction circuit, setting threshold values to distinguish between target and non-target objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensitivity adjustment is performed to detect objects with small reflection surfaces, then detection coverage is improved, but ranging accuracy deteriorates due to erroneous detection of non-target objects like road surfaces
Solution Approach 1:
The patent combines multiple range finders (first range finder and second range finder) to perform simultaneous ranging measurements. By merging the detection capabilities of multiple sensors, the system achieves both improved detection coverage and maintained ranging accuracy through cross-validation of measurements
Solution Approach 2:
The patent implements a feedback mechanism where the control unit compares ranging results from multiple range finders and performs sensitivity adjustment based on the comparison. The system uses the feedback from multiple measurements to determine optimal sensitivity settings that maintain accuracy while expanding detection coverage
2Reliability
If sensitivity is increased to detect small reflection surfaces, then detection capability is improved, but false detection of non-target objects increases
Solution Approach 1:
The patent introduces a control unit as an intermediary that mediates between multiple range finders. This intermediary component processes measurements from both range finders, compares results, and determines valid object detections, thereby filtering out false detections while maintaining high detection capability
Solution Approach 2:
The patent replaces simple threshold-based detection with a comparative measurement system using multiple range finders. Instead of relying on a single mechanical threshold setting, the system uses multiple parallel measurements and logical comparison to distinguish true objects from false detections
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
Improves the accuracy of object detection by distinguishing between objects with small reflection intensities and non-target surfaces, enhancing the precision of collision avoidance systems.
Implementation Method 1
a range finder that measures a distance to the object
Implementation Method 2
an imaging sensor that acquires an image of an object
Data Source
AI summary
An object detection device includes an estimation circuit, an accumulation circuit, and an extraction circuit. The estimation circuit estimates a first position of an object multiple times by using a first distance to the object and an azimuth of the object. The first distance is measured by one or more range finders. The azimuth is estimated from an image of the object acquired by an imaging sensor. The accumulation circuit accumulates the first positions of the object estimated the multiple times. The first positions are accumulated for each predetermined distance from the imaging sensor. The extraction circuit extracts a second position of the object from the accumulation result.