Vehicle Surrounding Condition Check via Client Algorithm Assignment
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Solution Overview
Problem
The performance of Advanced Driver Assistance Systems (ADAS) in vehicles is limited by the quality of the ADAS module, leading to inaccurate recognition of surrounding conditions, which can be improved by sharing image data with clients for enhanced processing and recognition.
Innovation Solution
A method where a vehicle identifies and communicates with connectable clients to verify their performance, assigns algorithms based on that performance, and processes image data to determine the surrounding condition, integrating results from both the vehicle's module and clients for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle uses its own ADAS module to process image data, then the system can operate independently, but the recognition accuracy is limited by the poor performance of the mounted ADAS module
Solution Approach 1:
The patent combines the vehicle's ADAS module with external client devices (smartphones, tablets, or cloud servers) to create a hybrid processing system. Image data is transmitted to multiple clients for parallel processing, and their recognition results are integrated to achieve higher accuracy than the vehicle's standalone ADAS module could provide.
Solution Approach 2:
The system allows different types of client devices (mobile phones, tablets, cloud servers) with varying processing capabilities to perform the same image recognition function. Each client can process image data using its own algorithms, and the vehicle can select from multiple recognition results to determine the final surrounding condition.
2Measurement precision
If the vehicle shares image data with multiple clients for processing, then recognition accuracy improves, but the system complexity and communication overhead increase
Solution Approach 1:
The system dynamically adjusts the number and type of clients involved in processing based on real-time conditions. The vehicle controller can select one or more clients from the plurality of connected devices, and can change the processing configuration adaptively. This allows the system to balance accuracy requirements with communication overhead and system complexity.
Solution Approach 2:
The vehicle controller acts as an intermediary that manages communication between the image data source and multiple client devices. It coordinates data transmission, receives processing results, and integrates the outputs. This centralized mediation simplifies the overall system architecture by providing a single point of control rather than requiring direct peer-to-peer communication between all components.
3Power
If the vehicle transmits image data to external clients, then processing power is enhanced, but data transmission time and communication resources are consumed
Solution Approach 1:
Instead of transmitting complete high-resolution image data to all clients, the system can send partially processed data, key features, or downsampled versions to clients with limited processing power. This reduces transmission time and bandwidth consumption while still enabling external processing enhancement. The vehicle can also selectively transmit data only to clients that are currently available and capable of processing.
Data Source
AI summary
Disclosed is a method of checking a surrounding condition of a vehicle. The method of checking a surrounding condition of a vehicle may comprise identifying at least one connectable client in the vehicle, communicating with the identified client to verify performance of the client based on a determination criterion of the performance of the client, assigning an algorithm corresponding to the client based on the verified performance of the client, and checking a surrounding condition of the vehicle based on information obtained from the client as a result of processing image data according to the algorithm in the case of acquiring the image data through a sensor of the vehicle. The vehicle of the present invention can be connected to an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to 5G services and so on.