Landmark Recognition via Positional Metadata Association
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Solution Overview
Problem
Conventional navigation systems face challenges in accurately recognizing landmark objects due to varying imaging angles of in-vehicle cameras, leading to inconsistent precision in image recognition.
Innovation Solution
An image collection system that includes an image obtainment unit, a positional relationship information obtainment unit, and a save processing unit to associate images with positional data, allowing precise identification and storage of images based on the vehicle's position and angle relative to the landmark, thereby enhancing recognition precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If images captured by in-vehicle camera are saved without positional relationship information, then storage capacity is reduced, but image recognition precision varies significantly due to different imaging angles
Solution Approach 1:
The system performs preliminary classification of captured images based on positional relationship information (vehicle position, angle, distance to landmark) before saving to database. This pre-processing organizes images into structured categories, enabling precise retrieval during recognition tasks without requiring complex real-time analysis.
Solution Approach 2:
The patent introduces multiple dimensional parameters (position, angle, distance) to describe the relationship between vehicle and landmark objects. By adding these dimensional attributes to the stored image data, the system enables precise filtering and retrieval based on specific viewing conditions, significantly improving recognition precision.
2Reliability
If all captured images are saved on database, then storage capacity increases, but communication capacity requirements increase
Solution Approach 1:
The system extracts and stores only the essential positional relationship information (vehicle position, imaging angle, distance to landmark) separately from the image data itself. This extraction allows the system to efficiently query and retrieve only those images matching specific recognition criteria, reducing the amount of data that needs to be transmitted and stored while maintaining high recognition reliability.
Solution Approach 2:
By pre-organizing images with their associated positional metadata before database storage, the system enables efficient filtering and retrieval operations. This preliminary organization reduces the need to process and transmit large volumes of unrelated image data during actual recognition tasks.
3Adaptability or versatility
If images are captured from various imaging angles, then adaptability to different driving conditions is improved, but image recognition precision varies image by image
Solution Approach 1:
The patent captures images from multiple angles and positions but compensates by recording detailed positional relationship information for each image. This allows the system to later select and use only those images that meet specific precision criteria for the given driving conditions, effectively managing the trade-off between adaptability and precision.
Solution Approach 2:
The system dynamically selects images based on parameters such as imaging angle, distance to landmark, and vehicle position. By changing which parameter values are used for selection based on the specific recognition task requirements, the system can optimize precision for different driving scenarios while maintaining overall adaptability.
Data Source
AI summary
An image collection system includes an image obtainment unit configured to obtain an image of a landmark object captured by an imaging unit installed on a vehicle; a positional relationship information obtainment unit configured to obtain positional relationship information representing a positional relationship between the landmark object and the vehicle when the image was captured; and a save processing unit configured to associate the image obtained by the image obtainment unit with the positional relationship information obtained by the positional relationship information obtainment unit, so as to save the associated image on a database.