Vehicle Unlocking via Visual and RF Position Comparison
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Solution Overview
Problem
Current vehicle unlocking systems face challenges in easily detecting and securely validating a user, particularly when the user approaches the vehicle.
Innovation Solution
A method and system utilizing visual domain and radio frequency (RF) domain technologies to compare the user's visual and RF positions, validating the user's identity by ensuring distance and angle consistency between visual and RF data, and unlocking the vehicle upon successful validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual domain data and RF domain data are used to validate user identity, then user detection accuracy and security are improved, but system complexity increases
Solution Approach 1:
The patent combines visual domain data (from cameras or visual sensors) and RF domain data (from wireless communications) into a unified user validation system. By merging these two different data domains, the system achieves more reliable and secure user detection while managing complexity through integrated processing architecture.
Solution Approach 2:
The system processes multiple types of data (visual and RF) through a common validation framework that can handle different data sources and formats. This multi-functional approach allows the same system to perform both visual recognition and RF signal analysis, reducing overall system complexity while maintaining high security standards.
2Measurement precision
If visual domain data and RF domain data are compared using multiple equations, then user validation accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent divides the position comparison process into separate equation components: one equation for comparing radial distances (dvisual vs dRF) and another equation for comparing azimuthal angles (φvisual vs φRF). This segmentation allows each equation to focus on a specific spatial parameter, improving measurement precision while making the computational process more manageable and modular.
3Speed
If the system monitors user position and validates identity in real-time, then user detection speed is improved, but energy consumption increases
Solution Approach 1:
The system performs periodic monitoring and validation of user position and identity rather than continuous monitoring. By sampling user data at regular intervals and only performing full validation when needed (such as when a user approaches the vehicle or when authentication is required), the system achieves fast user detection speed while significantly reducing overall energy consumption compared to continuous real-time monitoring.
Data Source
AI summary
A method of unlocking a vehicle of a user having a handheld device based on visual domain and radio frequency (RF) domain technologies is provided. The method comprises activating an on-board apparatus of the vehicle when the handheld device of the user is within a threshold distance from the vehicle. The method further comprises comparing a visual domain position of the user based on visual domain data with an RF domain position of the user based on RF domain data by a first equation, |dvisualt<sub2>i</sub2>(X)−dRFt<sub2>i</sub2>(X)|<εd and a second equation, |φvisualt<sub2>i</sub2>(X)−φRFt<sub2>i</sub2>(X)|<εφ. The method further comprises validating the user when the first and second equations are true and unlocking the vehicle after the user is validated.