Parallax Histogram Object Detection for Vehicle Systems
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Solution Overview
Problem
Existing object detection systems require longer processing times due to the sequential acquisition of height, width, and distance information for object detection, which is not preferable for real-time applications like vehicle-mounted systems.
Innovation Solution
An object detection apparatus using parallax histogram information generated from multiple images, which includes a parallax histogram information generator and an object image area extraction unit to identify objects based on frequency profiles and pixel intervals, allowing for simultaneous extraction of object features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sequential acquisition of height, width, and distance information is used for object detection, then measurement precision is improved, but processing time increases
Solution Approach 1:
The patent combines the sequential acquisition of height, width, and distance information into a simultaneous extraction process using parallax histogram analysis. The object detection apparatus extracts all three dimensions of object information at once by analyzing the frequency distribution of parallax values, rather than measuring each dimension separately in sequence, thereby reducing processing time while maintaining detection precision.
Solution Approach 2:
The patent introduces a new dimension of analysis by using parallax histogram frequency profiles to extract object information. Instead of traditional sequential measurement approaches, the system transforms the detection problem into a frequency domain analysis where objects are identified by characteristic patterns in the parallax distribution, enabling simultaneous extraction of multiple object attributes.
2Measurement precision
If traditional object detection methods are used, then object recognition accuracy is achieved, but processing speed decreases
Solution Approach 1:
The patent replaces traditional mechanical sequential measurement processes with a computational frequency analysis system. By substituting the step-by-step measurement approach with parallel histogram-based pattern recognition, the system achieves both high accuracy and fast processing speeds suitable for real-time vehicle-mounted applications.
Solution Approach 2:
The patent performs preliminary organization of parallax data into histogram frequency distributions before object detection. This pre-processing step structures the data in a way that enables rapid simultaneous extraction of object dimensions, improving processing speed without sacrificing recognition 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
This approach enables high-precision object detection with shorter processing times by generating vertical-direction parallax histogram information and extracting object image areas based on frequency thresholds, improving the efficiency of object recognition in vehicle-mounted systems.
Implementation Method 1
parallax information generated from multiple images captured by a plurality of image capturing units
Data Source
AI summary
An object detection apparatus, using at least one processing circuit, for detecting an object in an image capturing area based on parallax information generated from a plurality of images captured by a plurality of image capturing units, includes a parallax histogram information generator to generate vertical-direction parallax histogram information indicating a frequency profile of parallax values in each of vertical row areas in a captured image based on the parallax information; and an object image area extraction unit to extract, among parallax values having frequency exceeding a given frequency threshold, a group of pixels having parallax values existing within proximity of a given parallax value and having a pixel-to-pixel interval in an image left-to-right direction within a given range as an object image area displaying an object based on the vertical-direction parallax histogram information.