Vehicle Onboard Image Recognition Using Position and Reference Data
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Solution Overview
Problem
Existing vehicle onboard image recognition systems face challenges in achieving accurate image recognition across various situations due to the influence of multiple factors such as vehicle position, time, traffic conditions, and weather.
Innovation Solution
A vehicle onboard apparatus that performs image recognition using an image recognition model tailored to both the vehicle's position information and additional reference information like time, traffic state, and weather, with a support apparatus that selects and transmits appropriate model data to the onboard apparatus based on these factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image recognition is performed using only position information, then the system complexity is reduced, but recognition accuracy deteriorates due to inability to account for multiple influencing factors
Solution Approach 1:
The patent segments the image recognition system into multiple independent components: position information processing unit, additional reference information processing unit, and model selection unit. Each unit handles specific factors (position, time, weather, traffic conditions) separately before integrating them through model selection, thereby improving accuracy without creating a single complex monolithic system
Solution Approach 2:
The patent transitions from two-dimensional position information to multi-dimensional decision space by incorporating additional reference information dimensions (time, weather, traffic conditions). This dimensional expansion allows the system to select models based on multiple factors simultaneously, enhancing recognition accuracy across diverse situations while maintaining manageable system architecture
2Measurement precision
If multiple factors such as time, traffic conditions, and weather are considered, then image recognition accuracy improves, but the difficulty of detecting and measuring these factors increases
Solution Approach 1:
The patent introduces additional reference information processing units as intermediaries that specialize in acquiring and processing specific factors (time information unit, weather information unit, traffic condition information unit). These intermediaries simplify the overall system by distributing the detection and measurement tasks across separate functional modules, each optimized for its specific factor
Solution Approach 2:
The model selection unit serves as a universal component that integrates outputs from multiple specialized processing units (position information, time information, weather information, traffic condition information) and selects appropriate recognition models based on all factors. This multi-functional approach consolidates complexity into a single decision-making component while maintaining high accuracy
Data Source
AI summary
A vehicle onboard apparatus mounted in a vehicle includes an in-vehicle processing unit that performs image recognition on an input image from a camera mounted in the vehicle. The in-vehicle processing unit performs the image recognition using an image recognition model corresponding to position information of the vehicle and additional reference information different from the position information.