Vehicle Object Detection Device Reducing False Alarms
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Solution Overview
Problem
Existing object detection devices for vehicles are susceptible to detecting non-interfering objects, such as shallow steps, due to adaptive threshold settings, leading to false alarms.
Innovation Solution
An object detection device that includes a detection unit for identifying reflected waves from objects, a calculation unit for determining the position and distance of objects relative to the vehicle, and a determination unit that uses these calculations to decide whether to utilize the reflected waves for detection. The device sets automatic thresholds based on background noise and uses specific criteria, such as differences in distance and position, to determine if multiple reflections from a single target are present.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the threshold is reduced to detect more objects, then detection sensitivity is improved, but false detection of non-interfering objects increases
Solution Approach 1:
The patent segments the detection process into multiple stages: initial threshold-based detection, followed by position calculation, and finally determination based on position differences. This segmentation allows the system to apply different criteria at each stage, improving both sensitivity and reliability.
Solution Approach 2:
The patent introduces position difference calculation as an intermediary criterion between threshold detection and final object determination. This intermediary step acts as a filter that distinguishes between true objects and false detections without requiring a higher threshold.
2Adaptability or versatility
If adaptive threshold processing is used to adjust for background noise, then detection adaptability is improved, but shallow objects like steps are incorrectly detected
Solution Approach 1:
The patent dynamically adjusts the effective threshold through multi-stage processing. While the initial threshold adapts to background noise levels, subsequent position-based filtering dynamically refines the detection criteria based on the specific characteristics of detected signals.
Solution Approach 2:
The patent changes detection parameters from a single threshold criterion to a composite criterion involving threshold, position, and position difference. This parameter transformation allows the system to maintain adaptability to noise while adding discrimination capability.
3Quantity of substance
If multiple reflected waves from a single target are treated as separate objects, then detection completeness is improved, but detection precision deteriorates
Solution Approach 1:
The patent implements feedback by using position difference information to evaluate and consolidate detected objects. When position differences between detected waves are below a threshold, the system feedback-adjusts the object count by treating them as a single target, improving position accuracy.
Solution Approach 2:
The patent merges multiple reflected waves that originate from the same target by detecting their position relationships. When waves are determined to be from the same object based on position difference criteria, they are combined into a single detection result.
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 device effectively filters out non-interfering objects and accurately detects relevant targets, such as pedestrians, by distinguishing between multiple reflections from a single target and background noise, thereby reducing false alarms and improving detection precision.
Implementation Method 1
a distance measuring unit that transmits and receives a sound wave or a radio wave
Implementation Method 2
a distance measuring unit that transmits and receives a sound wave or a radio wave
Implementation Method 3
detect that a reflected wave reflected by an object is received
Data Source
AI summary
An object detection device including a detector in a vehicle to detect reflected waves reflected by objects. The device calculates an objection positions with respect to the vehicle using the reflected waves; and determines whether to use the reflected waves for object detection based on a calculation result. When the reflected wave exceeds an automatic threshold set based on background noise and includes a first and second reflected wave from a first object and a second object, respectively, the calculator obtains a first distance between the first object and the vehicle using the first reflected wave, obtains a second distance between the second object and the vehicle using the second reflected wave, and a difference between the first distance and the second distance. The determination unit uses the first and second reflected waves for the object detection when the difference is equal to or less than a first threshold.