Vehicle Control Device Selective Image Reception
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Solution Overview
Problem
Existing on-vehicle systems face challenges in efficiently receiving and presenting useful captured images to users, particularly in crowded communication environments where selecting relevant images from multiple vehicles is cumbersome and may distract drivers.
Innovation Solution
A control device that determines the traveling situations of multiple vehicles based on collected information, selectively requests and receives captured images from vehicles within specific conditions such as traffic congestion zones, and displays them to users, minimizing driver distraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the system requests captured images from multiple vehicles to provide comprehensive observation, then the quantity of available images increases, but the complexity of selecting useful images increases
Solution Approach 1:
The system performs preliminary actions by determining traveling situations of multiple vehicles and selectively requesting captured images based on pre-established criteria (congestion, accident, weather conditions) before the user needs the information. This filters out irrelevant images in advance, reducing the selection burden on users.
Solution Approach 2:
The control device acts as an intermediary that automatically processes and filters captured images from multiple vehicles based on traveling situations and predetermined conditions. It selects and presents only relevant images to the user, eliminating the need for users to manually search through all captured images.
2Loss of information
If the system displays multiple captured images to provide comprehensive information, then the completeness of information increases, but the distraction to the driver increases
Solution Approach 1:
The system extracts only the essential and relevant information from multiple captured images based on traveling situations and predetermined conditions. It presents a filtered subset of images that contain critical situational information while eliminating redundant or less important visual data, reducing driver cognitive load.
Solution Approach 2:
The system applies different selection criteria to different spatial contexts - it prioritizes images from vehicles in specific traveling situations (congestion, accidents, adverse weather) rather than uniformly displaying all images. This localized quality approach ensures that the most relevant information is presented based on the specific situational context.
3Ease of operation
If the system automatically selects and presents captured images to reduce user burden, then the ease of operation increases, but the risk of presenting irrelevant information increases
Solution Approach 1:
The system uses feedback from traveling situation data and predetermined conditions to automatically select and present relevant captured images. It continuously monitors vehicle traveling situations and adjusts image selection based on this feedback, ensuring that presented information remains relevant to current conditions while reducing user burden.
Data Source
AI summary
A control device is provided, which includes vehicle information collecting section configured to collect vehicle information that is sent by a vehicle and that includes location information indicating a location of the vehicle, a travelling situation determining section configured to determine a travelling situation of each of a plurality of vehicles including the vehicle based on a plurality of pieces of vehicle information including the vehicle information, and a captured-image receiving section configured to receive, from a vehicle in the travelling situation that satisfies a predetermined condition, a captured image captured by the vehicle.