Vehicle Object Recognition with Dynamic High-Resolution Regions
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Solution Overview
Problem
Existing vehicle recognition systems face challenges in acquiring accurate information about surroundings in real-time due to the time required for processing high-resolution images, which can lead to missed important information or delayed vehicle control.
Innovation Solution
An object recognition device that dynamically sets high-resolution regions within captured images based on surrounding information, allowing for focused high-resolution processing of critical areas such as other vehicles or traffic structures, thereby prioritizing the acquisition of important information without unnecessary image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution image processing is performed on the entire captured image, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent applies local quality by performing high-resolution image processing only on specific regions of interest (such as areas containing other vehicles or traffic structures) rather than the entire captured image. This selective processing maintains measurement precision for critical objects while significantly reducing overall processing time by excluding unnecessary regions from high-resolution analysis.
Solution Approach 2:
The patent segments the captured image into multiple regions, identifying and separating regions of interest from other areas. By dividing the image processing task into segments—processing only the identified regions at high resolution while handling other regions at lower resolution or skipping them entirely—the system achieves both accuracy for important objects and time efficiency for overall processing.
2Loss of time
If the range of high-resolution image capture is limited to shorten processing time, then loss of time is reduced, but loss of information increases
Solution Approach 1:
The patent employs feedback mechanisms where the system first performs initial image analysis to identify regions containing important objects, then uses this information to guide subsequent high-resolution processing. This feedback loop ensures that the range of high-resolution capture is dynamically adjusted based on detected important information, preventing loss of critical data while optimizing processing time.
Solution Approach 2:
The patent performs preliminary image analysis at lower resolution to identify regions of interest before conducting high-resolution processing. This preliminary action allows the system to pre-determine which areas require detailed examination, ensuring that important information is not missed while avoiding unnecessary high-resolution processing in irrelevant areas, thus balancing information completeness with time efficiency.
Data Source
AI summary
An object recognition device of an embodiment includes a processor configured to execute a program to set a high-resolution region to be subjected to a process on a first image obtained by capturing an image of surroundings of a vehicle at a higher resolution than other regions in the first image based on information on the surroundings of the vehicle, and recognize an object located in the surroundings of the vehicle by processing an image corresponding to the set high-resolution region at a high resolution.