Image Recognition Apparatus Using Land Object Data for Vehicle Positioning
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Solution Overview
Problem
Existing image recognition systems for vehicles rely solely on image information, leading to reduced recognition rates due to poor image quality or lack of characteristic features, resulting in erroneous or non-recognition of stop lines and other road markings.
Innovation Solution
An image recognizing apparatus that utilizes land object information, including position and correlation data, to enhance recognition by comparing image recognition results of multiple target objects and adjusting algorithms for improved accuracy, even under poor image conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If image recognition is performed based solely on image information from a camera, then the system construction is simple, but the recognition rate deteriorates when image quality is poor or characteristic features are insufficient
Solution Approach 1:
The patent combines multiple information sources (image information from camera, distance information from distance map, and position information from position map) to perform integrated recognition. This merging of different data types compensates for deficiencies in individual sources, improving recognition reliability while maintaining reasonable system complexity through coordinated processing of multiple inputs.
2Ease of operation
If image recognition relies only on picked-up image information, then the processing is straightforward, but erroneous recognition occurs when characteristic shapes are absent or image conditions are poor
Solution Approach 1:
The patent introduces distance maps and position maps as intermediary data structures that bridge the gap between raw image information and final recognition results. These intermediary representations provide additional contextual information (distance relationships and position data) that help disambiguate objects with similar visual characteristics, improving recognition accuracy without significantly complicating the processing workflow.
3Loss of information
If multiple recognition target land objects are present in the image, then the information available for recognition increases, but it becomes difficult to determine which object to recognize first
Solution Approach 1:
The patent performs preliminary processing to create distance maps and position maps before the actual recognition step. These pre-computed data structures organize spatial information in advance, enabling the recognition algorithm to efficiently query and compare multiple objects based on their distance and position relationships without requiring complex real-time analysis during the recognition phase.
Data Source
AI summary
There is provided e.g. an image recognizing apparatus which can increase the recognition rate of the image of a recognition target even when the recognition rate in the image recognition operation would deteriorate otherwise due to inability of obtaining good image information on the recognition target, if the operation relied solely on picked up image information.The apparatus includes an image information obtaining section 3, an imaging position obtaining section 7, a land object information storing section 8, a land object information obtaining section 9 for obtaining, from the land object information storing section 8, the land object information on one or more land objects included within an imaging area of the image information, a determining section 15 for determining whether or not a plurality of recognition target land objects to be recognized are included within the imaging area of the image information, based on the obtained land object information and an image recognizing section 10 for recognizing an image of one recognition target land object, based on result of image recognition of another recognition target land object and on position relationship between the one recognition target land object and another recognition target land object based on the position information included in the land object information, if the determining section has determined that a plurality of recognition target land objects are included.