Connected Vehicle Location Calibration via Infrastructure Feedback
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Solution Overview
Problem
Connected vehicles face challenges in determining accurate location data due to deviations caused by continuous movement and environmental factors, as well as potential malicious intent, which existing tracking mechanisms struggle to address effectively.
Innovation Solution
A system and method that utilize a smart traffic system with communication networks and sensors to compare and calibrate location data between vehicles and traffic infrastructure devices, using GNSS coordinates and proximity sensors to adjust positioning receivers for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If satellite based techniques or V2V communication are used to determine location, then location data can be obtained, but the data is subject to deviations due to continuous movement and environmental factors
Solution Approach 1:
The system continuously compares location data from the vehicle's positioning receiver with location data from traffic infrastructure devices, and uses this feedback to generate calibration information that corrects deviations in the vehicle's sensor data, thereby improving both accuracy and reliability
Solution Approach 2:
Traffic infrastructure devices serve as intermediary reference points with known locations. The system uses these intermediate reference devices to calibrate and correct location data from the vehicle's positioning receiver, eliminating direct dependency on potentially inaccurate satellite-based techniques
2Adaptability or versatility
If existing tracking mechanisms are used for location determination, then location data can be provided, but deviations occur due to environmental issues or malicious intent
Solution Approach 1:
The system continuously monitors location data from multiple sources including V2V communication and positioning receivers, compares them with reference data from traffic infrastructure devices, and uses this feedback to generate calibration information that corrects deviations caused by environmental factors or malicious intent
Solution Approach 2:
The system integrates multiple location determination methods including satellite-based techniques, V2V communication, and infrastructure-based positioning, allowing it to adapt to different environmental conditions and select the most reliable data source while maintaining high accuracy
Data Source
AI summary
A vehicle and a traffic infrastructure device both determine their respective locations, at least one of which uses a positioning device to determine its location. At least one sends its respective location to the other, which compares the two locations, identifies a location difference, generates calibration information based on the location difference, and either calibrates the positioning device based on the calibration information or transmits the calibration information to the other device for the other device to calibrate the positioning device.