Vehicle Peripheral Image Selection for Disaster Event Capture
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Solution Overview
Problem
Existing systems struggle to collect peripheral images that adequately capture rare weather-related or natural disaster events due to vehicle positioning, image capturing unit specifications, and directions, making it difficult to obtain relevant images.
Innovation Solution
An information processing device that identifies vehicles near the event, determines specific conditions based on the event type, and requests peripheral images or videos that meet these conditions from the vehicles, allowing for collection of images that adequately capture the event.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If peripheral images are collected from vehicles based on their positions, then the quantity of collected images increases, but the quality and relevance of images capturing rare events deteriorates
Solution Approach 1:
The system changes the selection parameters from simple geographic position matching to event-specific parameter matching. It determines predetermined conditions based on event type (weather-related or natural disaster), vehicle position relative to event site, image capturing direction, and image quality requirements. This parameter transformation enables selective collection of images that are both numerous and highly relevant to the captured events.
2Quantity of substance
If vehicles at arbitrary positions capture images, then more images are available, but the accuracy of capturing the event details deteriorates
Solution Approach 1:
The system applies local quality by assigning different selection criteria to different spatial locations relative to the event site. Vehicles at optimal positions with appropriate image capturing directions are selected based on event-specific requirements. The predetermined conditions include position-based criteria (distance from event site, direction relative to event) and image quality criteria (resolution, capturing angle), ensuring that only vehicles capable of capturing event details accurately are selected.
3Adaptability or versatility
If image capturing units with various specifications are used, then device versatility increases, but the difficulty of obtaining consistent quality images increases
Solution Approach 1:
The system manages device complexity by transforming the selection process into a parameter-based filtering system. It establishes predetermined conditions that include image quality parameters (resolution, format, capturing direction) and vehicle parameters (position, movement state). The server device automatically evaluates incoming images against these standardized parameters, simplifying the selection process despite the diversity of image capturing units. This parameter standardization enables consistent quality control across vehicles with various specifications.
Data Source
AI summary
An information processing device includes a processor. In response to an occurrence of at least one of a weather-related event and a natural disaster event, the processor identifies a vehicle located at a site of the event. The processor determines a predetermined condition in accordance with the event. The processor requests the identified vehicle to provide a peripheral image that satisfies the predetermined condition. The peripheral image is generated when an image capturing unit mounted on the identified vehicle captures an image of a periphery of the identified vehicle.