Vehicle Location Estimation Using Sensor Verification
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Solution Overview
Problem
Conventional vehicle control systems using user terminals face inaccuracies in location estimation due to errors in angle-of-arrival (AOA) methods, leading to reduced accuracy and increased costs when attempting to improve this with multiple communication modules, and are affected by obstacles and noise in signal reflections.
Innovation Solution
A vehicle and user terminal system that uses a communication module to receive and process search signals, sensor information, and determine the validity of the user terminal's location based on angle-of-arrival (AOA) and angle-of-departure (AOD) signals, with a controller that requests and verifies sensor information to filter out noise and improve location estimation accuracy without increasing the number of communication modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple communication modules are added to improve location estimation accuracy, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent introduces sensor information (acceleration, gyro, magnetometer data) as an intermediary to verify and correct location estimates. Instead of adding more communication modules, the system uses sensor data from the user terminal as a mediator to validate whether the estimated location is reasonable, thereby improving measurement precision without increasing device complexity
Solution Approach 2:
The system implements feedback by comparing sensor information with location estimation results. The controller determines whether a location is valid by checking if sensor data supports the estimated position, creating a feedback loop that improves location accuracy without requiring additional communication hardware
2Measurement precision
If sensor information verification is implemented to filter noise, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system applies partial verification by selectively validating location estimates based on sensor information rather than continuously processing all sensor data. The controller determines validity only when needed, performing partial actions to filter noise while minimizing energy consumption compared to continuous full-verification modes
Data Source
AI summary
A user terminal, vehicle, and controlling method of vehicle is provided. The vehicle includes a communication module configured to communicate with a user terminal and a controller configured to acquire a location of the user terminal, which corresponds to a search signal, when the search signal is received from the user terminal and to determine, based on sensor information of the user terminal, whether the acquired location of the user terminal is valid when the sensor information of the user terminal is received from the user terminal.