Vehicle Camera Calibration via Map-Matched Center Computing
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Solution Overview
Problem
Existing information management systems face challenges in efficiently recording calibration information for in-vehicle cameras, placing a heavy burden on users as they often cannot consistently obtain necessary calibration data.
Innovation Solution
An information management system comprising a vehicle and a center, where the vehicle transmits external information and location data to the center, which computes and records calibration information using a map database, even if the vehicle cannot obtain it directly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle obtains calibration information directly using a capture device and reference object, then the calibration information can be obtained for image location specification, but the user burden increases and consistent acquisition cannot be guaranteed
Solution Approach 1:
The patent introduces a center server as an intermediary between multiple vehicles and the calibration information database. The center receives external information from vehicles, performs centralized computation to obtain calibration information using map information databases, and distributes this information back to vehicles. This mediator approach eliminates the need for each vehicle to independently perform complex calibration operations, reducing user burden while maintaining measurement precision.
Solution Approach 2:
The system enables vehicles to self-service by automatically transmitting external information and location data to the center, which then automatically processes and returns calibration information. The vehicle's capture device continuously captures external information, and the system automatically matches this with map data to generate calibration information without requiring manual user intervention or special calibration operations.
2Measurement precision
If the vehicle performs calibration computation locally, then the calibration information can be obtained, but the device complexity and computational burden on the vehicle increases
Solution Approach 1:
The center server acts as a computational intermediary that handles the complex calibration computation tasks. Instead of equipping each vehicle with sophisticated computation systems, the patent centralizes the computational burden at the server level, which has access to comprehensive map information databases and can perform the matching computations more efficiently.
Solution Approach 2:
The patent shifts the computational dimension from individual vehicle units to a centralized cloud-based center. By moving the computation from the edge (vehicle) to the cloud (center server), the system leverages greater computational resources and data storage capacity available at the center, reducing the complexity requirements at the vehicle level.
3Measurement precision
If the system collects external information from multiple vehicles, then the calibration information accuracy improves, but the data management complexity increases
Solution Approach 1:
The patent merges data collection and processing functions into a unified centralized system at the center server. Multiple vehicles transmit their external information to the same center, which consolidates this data and performs centralized matching with map information. This merging approach improves reliability through multiple data sources while managing complexity through centralized coordination rather than distributed complexity.
Data Source
AI summary
An information management system includes a vehicle and a center. The information management system manages information to be provided to an information utilizer from the center. The vehicle obtains external information by using a capture device recognizing a landmark, obtains location information expressing location of the vehicle, and transmits to the center, vehicle information including the external information and the location information. The center receives the vehicle information, obtains calibration information of the capture device by computation using the external information and the location information and a map information database, and records the external information and the location information and the calibration information.