Driving Assistance Service Center Using Segmentation and Intermediary
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Solution Overview
Problem
Current driving assistance systems, such as navigation devices and black boxes, have limited capabilities in monitoring surroundings and providing accurate information, failing to anticipate future road situations or warn of dangers from other vehicles, thus limiting convenience and safety for drivers.
Innovation Solution
A method and system that utilize a communication network to manage and analyze driving information of a vehicle and surrounding vehicles, providing optimal driving assistance by generating and transmitting analyzed information to vehicle terminals for real-time decision-making and control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driving assistance systems use only local apparatuses (navigation device, black box, LDWS), then device complexity is reduced, but measurement precision and reliability of driving information are limited
Solution Approach 1:
The system divides driving assistance functionality into local apparatuses (navigation device, black box, LDWS) and a remote server, with each component handling specific tasks. The local apparatuses collect and transmit data, while the server performs complex analysis, allowing improved precision without proportionally increasing local device complexity.
Solution Approach 2:
A communication network acts as an intermediary between local driving assistance apparatuses and the remote server. This intermediary enables exchange of driving information, allowing local devices to access enhanced analytical capabilities without directly increasing their own complexity.
2Loss of information
If driving assistance systems monitor only current road situation, then loss of time is reduced, but loss of information about future road situations increases
Solution Approach 1:
The server performs preliminary analysis of driving information, road conditions, and historical data to predict future road situations before the vehicle reaches them. This preliminary action provides advance warning of potential hazards, allowing drivers to prepare without significant time loss during actual driving.
Solution Approach 2:
The system continuously receives feedback from local apparatuses about current driving conditions and compares it with predicted future situations. This feedback loop enables the server to refine predictions and provide timely updates, balancing information completeness with response time.
3Measurement precision
If driving assistance systems use only visible range camera data, then device complexity is minimized, but measurement precision of surrounding environment is limited
Solution Approach 1:
The server provides multi-functional analysis capabilities, processing not only camera data but also navigation data, black box information, and LDWS data. This universal processing platform enhances surroundings monitoring accuracy without requiring each local device to be independently complex.
Data Source
AI summary
A method of allowing a local Driving Assistance Service (DAS) center within a base station to provide a DAS to a vehicle by using a communication network is provided. The method includes receiving, from a vehicle terminal, local DAS information and surrounding information of the vehicle, generating Analyzed-local (A-local) DAS information by using the received local DAS information, and transmitting, when the DAS is provided by using the generated A-local DAS information, the A-local DAS information to the vehicle terminal.