Vehicle Object Detection with Dynamic Intensity Thresholds
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Solution Overview
Problem
Existing object detection devices suffer from inaccuracies in detecting targets due to misidentification of objects, particularly when detection distances are close and multiple detections occur.
Innovation Solution
The device employs an acquisition module to measure distance and reception intensity, and a detection module that adjusts the intensity threshold based on detection distance and number of detections, dynamically correcting the threshold to prevent misidentification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed intensity threshold is used for object detection, then the detection process is simple and fast, but detection accuracy deteriorates due to false positives when detection distance is short
Solution Approach 1:
The intensity threshold is changed from a fixed value to a dynamic value that varies based on detection distance. When detection distance is short, a higher threshold is applied to avoid false positives, while when detection distance is long, a lower threshold is used to maintain detection sensitivity. This dynamic adjustment resolves the contradiction between detection accuracy and process complexity.
Solution Approach 2:
The detection system changes the parameter of intensity threshold based on the detection distance parameter. By establishing a correspondence relationship between distance and threshold values, the system adapts the detection criteria to the specific detection context, improving accuracy without requiring complex additional detection mechanisms.
2Measurement precision
If the intensity threshold is increased to prevent false positives, then detection accuracy improves, but detection sensitivity decreases and valid targets may be missed
Solution Approach 1:
The system dynamically adjusts the intensity threshold based on detection distance conditions. For short distances where false positives are more likely, higher thresholds are used. For long distances where detection sensitivity is more critical, lower thresholds are applied. This dynamic behavior allows the system to optimize both accuracy and sensitivity in different operational contexts.
Solution Approach 2:
The intensity threshold parameter is changed according to the detection distance parameter. The system establishes different threshold levels for different distance ranges, allowing high accuracy at short distances while maintaining adequate sensitivity at long distances through parameter adaptation rather than using a single fixed threshold.
3Measurement precision
If multiple detection criteria are applied to improve accuracy, then false positives are reduced, but detection time increases
Solution Approach 1:
The system performs preliminary classification of detection scenarios based on distance before applying the full detection algorithm. By pre-determining which intensity threshold to use based on distance, the system avoids unnecessary computational complexity in cases where simple thresholding suffices, thereby reducing detection time while maintaining accuracy.
Solution Approach 2:
The detection system changes the threshold parameter based on distance to match the appropriate detection stringency. This parameter adaptation allows the system to use simpler, faster detection logic for short distances where false positives are the main concern, while applying more thorough detection for long distances, thus optimizing the time-accuracy tradeoff.
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
This approach enhances detection accuracy by reducing false positives, allowing accurate identification of targets within a specific range and improving operational reliability.
Implementation Method 1
a detection distance indicating a distance from a transmission/reception unit mounted on a vehicle to an object and a reception intensity indicating an intensity of a reflected wave received by the transmission/reception unit, the detection distance being detected based on results of transmission of a transmission wave by the transmission/reception unit and reception of the reflected wave from the object by the transmission/reception unit
Data Source
AI summary
An object detection device includes an acquisition module and a detection module. The acquisition module acquires a detection distance indicating a distance from a transmission/reception unit mounted on a vehicle to an object and a reception intensity indicating an intensity of a reflected wave received by the transmission/reception unit. The detection distance is detected based on results of transmission of a transmission wave by the transmission/reception unit and reception of the reflected wave from the object by the transmission/reception unit. The detection module detects a detection target among objects including the object based on the reception intensity exceeding an intensity threshold. The detection module increases the intensity threshold when the detection distance is a distance threshold or less and the detection target is detected.