Driving Information Output Using Conditional Vehicle Image Acquisition
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Solution Overview
Problem
Existing systems struggle to efficiently acquire images suitable for guiding safe driving from vehicle-mounted drive recorders due to high communication and storage loads, and fail to identify potentially dangerous driving operations that do not reach dangerous levels.
Innovation Solution
A driving information output device that selectively acquires images based on predefined conditions, including position, time, and vehicle state, to generate and output driving information relevant for guidance, reducing the overall data load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all images from drive recorder are acquired for safe driving guidance, then comprehensive driving information is obtained, but communication traffic and storage capacity significantly increase
Solution Approach 1:
The patent extracts only the necessary images from the drive recorder video data based on predetermined conditions (accident occurrence, dangerous driving operations, potentially dangerous driving operations). This extraction principle selectively retrieves relevant images while excluding unnecessary ones, thereby reducing communication traffic and storage capacity requirements while maintaining comprehensive coverage of important driving information.
Solution Approach 2:
The patent applies partial action by acquiring images only when specific conditions are met (accident events, dangerous driving behaviors, potentially dangerous situations) rather than continuously acquiring all images. This conditional acquisition approach ensures that sufficient driving information for guidance is obtained without the excessive data load of continuous full-video capture.
2Loss of information
If images are acquired from multiple vehicles for comprehensive analysis, then more driving patterns are captured, but system load becomes unmanageable
Solution Approach 1:
The patent extracts only relevant images from multiple vehicle drive recorders based on predetermined conditions (accidents, dangerous driving, potentially dangerous situations). By applying extraction at the source (each vehicle's drive recorder), the system manages multiple vehicle data streams efficiently without becoming unmanageable, as only essential images are transmitted and stored.
Solution Approach 2:
The patent segments the image acquisition process by applying predetermined conditions to filter images from multiple vehicles. Each vehicle's data is processed independently through the same conditional framework, allowing scalable management of multiple vehicles while maintaining system load within manageable limits.
3Loss of information
If normal driving operation videos are included in safe driving guidance, then complete driving spectrum is covered, but data processing efficiency decreases
Solution Approach 1:
The patent extracts only images representing meaningful driving events (accidents, dangerous operations, potentially dangerous operations) from the drive recorder data. By excluding normal, uneventful driving operations, the system maintains coverage of the complete driving spectrum's critical aspects while dramatically improving data processing efficiency through selective extraction of relevant information.
4Measurement precision
If existing dangerous driving analysis systems are used, then dangerous driving operations are identified, but potentially dangerous driving operations are missed
Solution Approach 1:
The patent extends the detection scope beyond strictly dangerous driving operations to include potentially dangerous driving operations as well. By applying partial action (detecting a broader range of driving behaviors including those that may become dangerous), the system maintains high precision for dangerous driving detection while also capturing emerging risks that haven't yet reached dangerous thresholds.
Data Source
AI summary
In order to acquire an image suitable for driving instruction while reducing the image acquisition load, and to use the acquired image to output information relating to the driving of the driver of a vehicle, a driving information output device according to the present invention comprises: a communication means that communicates with an image acquisition device mounted on a vehicle; an information acquisition means that acquires, from the image acquisition device via the communication means, an image that satisfies image acquisition conditions including at least one of an image acquisition position, an image acquisition time, and a vehicle operating status and a vehicle surrounding environment at the time of image acquisition; a driving information generation means that generates driving information, which is information regarding the driving of the driver of the vehicle, on the basis of the acquired image; and an output means that outputs the driving information.