Vehicle Object Detection Height Filtering
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Solution Overview
Problem
Existing vehicle object detection technologies face inefficiencies and potential safety issues due to real-time changes in surrounding images, leading to decreased detection efficiency and increased risk of errors when detecting all objects within the entire image range, including low objects that are not detection targets.
Innovation Solution
An apparatus and method that filter out objects with heights equal to or smaller than a predetermined threshold value from the surrounding image, using a camera unit, object candidate extracting unit, height reference filtering unit, and object recognizing unit, which calculate center coordinates, variable height threshold values, and store coordinates in a look-up table to rapidly detect specific objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an algorithm detecting all objects within the entire surrounding image range is applied, then detection coverage is improved, but calculation efficiency deteriorates
Solution Approach 1:
The patent divides the detection process into two stages: first extracting object candidates using a simplified algorithm, then performing detailed recognition only on candidates that meet height threshold criteria. This segmentation allows comprehensive coverage while maintaining calculation efficiency by avoiding full processing of all image regions.
Solution Approach 2:
The patent performs preliminary filtering of object candidates based on height information before conducting full object recognition. By calculating height thresholds in advance and eliminating obviously non-target objects (such as low-lying obstacles) in the preliminary stage, the system reduces the computational load for subsequent detailed detection while maintaining comprehensive coverage.
2Reliability
If all object candidates are processed for detection, then detection completeness is improved, but detection speed deteriorates
Solution Approach 1:
The patent extracts height information as a key feature from object candidates and uses it to filter out non-target objects before detailed recognition. By taking out and utilizing this specific attribute, the system maintains detection completeness for relevant objects while rapidly eliminating irrelevant candidates, thus improving detection speed without sacrificing completeness.
Solution Approach 2:
The patent applies a height threshold filter that may eliminate some objects, but this partial filtering action is designed to remove only obviously non-target objects (such as very low obstacles). The filtering criterion is set to be sufficiently strict to improve speed while not excessively removing potential targets, achieving a balance between speed and completeness.
3Reliability
If low-height objects are included in detection, then detection coverage is improved, but detection efficiency deteriorates
Solution Approach 1:
The patent changes the detection parameter by introducing a height threshold criterion. Objects with height below this threshold are excluded from detailed recognition processing. This parameter change allows the system to maintain coverage of relevant objects while dramatically improving efficiency by eliminating processing of low-height objects that are not detection targets.
Data Source
AI summary
Disclosed are an apparatus and a method for detecting an object for a vehicle, the apparatus including: a camera unit configured to output a surrounding image of a vehicle; an object candidate extracting unit configured to extract an object candidate from the output surrounding image of the vehicle; a height reference filtering unit configured to output a filtered image by excluding an object having a height equal to or smaller than a threshold value from the extracted object candidate; and an object recognizing unit configured to detect a specific object from the output filtered image.