Vehicle Image Processing System for Unspecifiable Object Recognition
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Solution Overview
Problem
Existing image processing systems struggle to specify indeterminate or unspecifiable stereoscopic objects in captured images outside a vehicle, as they require pre-stored template data and fail to recognize objects with indeterminate shapes.
Innovation Solution
An image processing system that includes an image acquisition unit, dictionary storage unit, specification unit, behavior information acquisition unit, and classification unit, which acquires captured images, stores dictionary data, specifies objects, classifies whether the vehicle needs to avoid unspecifiable objects based on behavior information, and updates dictionary data using image data and classification results to improve recognition of analogous objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If template data matching is used to specify stereoscopic objects, then known objects can be identified, but unspecifiable objects with indeterminate shapes cannot be recognized
Solution Approach 1:
The system performs preliminary classification of unspecifiable objects into groups (first image group for objects requiring avoidance, second image group for objects not requiring avoidance) before detailed specification. This preliminary action enables the system to handle unspecifiable objects by categorizing them based on vehicle behavior patterns, allowing future recognition of similar objects without requiring pre-stored template data for each specific object type.
Solution Approach 2:
The system uses vehicle behavior information as feedback to classify and specify unspecifiable objects. By analyzing whether the vehicle avoided or did not avoid an unspecifiable object, the system refines its classification and creates updated dictionary data. This feedback mechanism enables continuous improvement of object recognition capabilities for previously unspecifiable objects.
2Measurement precision
If dictionary data is updated with image data of unspecifiable objects, then recognition of similar objects improves, but system complexity increases
Solution Approach 1:
The system segments dictionary data management by creating separate processing paths for specifiable objects (using template matching) and unspecifiable objects (using behavior-based classification). Unspecifiable objects are further segmented into first image group (avoidance required) and second image group (avoidance not required). This segmentation simplifies the overall system by handling different object types through specialized subsystems rather than a single complex unified system.
Data Source
AI summary
An image processing system includes an image acquisition unit that acquires a captured image obtained by imaging a vehicle outside, a dictionary storage unit that stores dictionary data to be referred to in specifying an object included in the captured image, a specification unit that specifies the object based on the dictionary data, a behavior information acquisition unit that acquires behavior information indicating a behavior state of a vehicle, and a classification unit that classifies, based on the behavior information of the vehicle with respect to an unspecifiable object as the object unspecified by the specification unit, whether or not the vehicle needs to avoid the unspecifiable object. Image data of the unspecifiable object is used for creating the dictionary data along with a classification result of the classification unit.