Vehicle Image Collection System with Local Evaluation
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Solution Overview
Problem
Existing image information collection systems face heavy communication traffic due to the transmission of all captured images from vehicles to a records center, which is inefficient and wasteful.
Innovation Solution
An image information collection system where a vehicle's control device calculates an evaluation value for captured images based on quality and location, determining whether to transmit them to a server device, thereby selecting only relevant images and avoiding redundant data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all captured images from all vehicles are transmitted to the records center, then complete image information is collected, but heavy communication traffic is caused
Solution Approach 1:
The patent applies local quality by making different vehicles transmit images with different transmission probabilities based on their individual evaluation values. Vehicles with higher evaluation values (better image quality, more interesting content) have higher transmission probability, while those with lower evaluation values have lower transmission probability. This resolves the contradiction by selectively transmitting only necessary images rather than all images, reducing communication traffic while still collecting sufficient image information.
Solution Approach 2:
The patent changes the parameter of transmission probability dynamically based on evaluation values. The control device calculates an evaluation value for each captured image based on multiple parameters (image quality, vehicle type, location, time), and adjusts the transmission probability accordingly. This parameter change approach allows the system to optimize communication traffic by transmitting only images with high transmission probability, while maintaining complete image information collection over time through statistical accumulation.
2Productivity
If evaluation value calculation is performed for all captured images, then transmission decisions are optimized, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the evaluation process into multiple independent parameters (image quality evaluation, vehicle type evaluation, location evaluation, time evaluation). Each parameter is evaluated separately and then combined to form the overall evaluation value. This segmentation reduces device complexity by breaking down the complex evaluation task into manageable sub-tasks, while maintaining high transmission efficiency through the comprehensive nature of the combined evaluation.
Solution Approach 2:
The patent implements partial action by not requiring all evaluation parameters to be perfectly accurate for every decision. Instead, the system uses multiple parameters with different weights, and the transmission decision is made based on the overall evaluation rather than requiring perfect accuracy in each individual parameter. This approach achieves good enough transmission efficiency without the excessive complexity of perfect evaluation in all aspects.
Data Source
AI summary
An image information collection system is an image information collection system in which a server device collects image information from a vehicle via a telecommunications line. The vehicle includes: an imaging device configured to capture a surrounding image; and a control device configured to calculate an evaluation value of the surrounding image captured by the imaging device, the control device being configured to determine, based on the evaluation value thus calculated and a location where the surrounding image is captured, whether or not the surrounding image is transmitted to the server device as the image information, the control device being configured to transmit, to the server device, the surrounding image determined to be transmitted.