Object Recognition Apparatus Parallel Moving Loss Detection
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Solution Overview
Problem
Existing object recognition systems fail to accurately detect and determine the loss of parallel moving objects, leading to potential misidentification of object positions and erroneous collision avoidance controls.
Innovation Solution
An object recognition apparatus with a parallel moving determinator, recognition determinator, recognition number determinator, and parallel moving loss determinator to identify and manage the recognition loss of parallel moving objects by analyzing behavior information and positional changes over time, distinguishing between actual object movement and recognition overlap.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a plurality of objects move in parallel with each other and overlap, then the recognition system may temporarily reduce the number of recognized objects, but this causes the loss of parallel moving objects to be undetected or inaccurately detected
Solution Approach 1:
The system performs preliminary determination of parallel moving conditions by analyzing behavior information (position, speed, direction) of recognized objects. By proactively identifying objects that are likely to overlap and be lost before actual loss occurs, the system can prepare for potential recognition failures and maintain accurate object tracking throughout the overlap period.
Solution Approach 2:
The system continuously monitors recognition results and compares the number of recognized objects across different timing. When a reduction in recognized object count is detected, the system uses feedback from behavior information analysis to determine whether this reduction is due to parallel moving overlap or actual object loss, enabling accurate distinction and continuous improvement of detection accuracy.
2Device complexity
If the system determines object loss without considering parallel moving conditions, then the processing is simple, but the cause of loss cannot be determined and wrong position estimation occurs
Solution Approach 1:
The loss determination process is segmented into distinct functional modules: a parallel moving determinator that analyzes behavior information to identify parallel moving conditions, a recognition determinator that checks recognition status, and a position estimator that calculates lost object positions. This segmentation allows each module to specialize in a specific task, improving overall accuracy while maintaining manageable system complexity.
Solution Approach 2:
Behavior information (position, speed, direction data) serves as an intermediary element that connects the recognition system with the loss determination system. By analyzing this intermediate data, the system can infer parallel moving conditions and distinguish between temporary overlap and actual object loss, enabling accurate position estimation without direct observation of the loss event itself.
Data Source
AI summary
An object recognition apparatus is provided with: a recognizer configured to recognize a plurality of objects; an acquirer configured to obtain behavior information; a parallel moving determinator configured to determine whether or not a parallel moving condition is satisfied, indicating that there are a first object and a second object, which move in parallel; a recognition determinator configured to determine whether or not a recognition condition is satisfied, indicating that there is the second object among the objects recognized in second timing; a recognition number determinator configured to determine whether or not a recognition number condition is satisfied, indicating that a number of the objects recognized in the second timing is reduced; and a parallel moving loss determinator configured to determine that the first object is in a parallel-moving-object-lost state, if the parallel moving condition, the recognition condition and the recognition number conditions are satisfied.