Vehicle RSU Sensor Data Verification
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Solution Overview
Problem
Current Road Side Units (RSUs) face calibration errors due to sensor misalignment or inclination, leading to inaccurate data transmission, and lack of certification processes for assessing data quality, making it difficult for receiving vehicles to trust the data, especially since different manufacturers provide varying levels of data quality.
Innovation Solution
A vehicle equipped with sensors and a communication module for wireless communication with RSUs, capable of detecting and transmitting sensor values to a server for verification, allowing for the determination of deviations and confidence assessments, enabling self-checking of RSU data quality and resource-efficient communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If regular checks of RSUs are performed using reference vehicles, then calibration errors can be detected, but the process is time-consuming and requires presence of reference vehicle and technician
Solution Approach 1:
The RSU performs self-diagnosis by comparing its own sensor measurements with measurements from passing vehicles. The RSU autonomously detects calibration errors without requiring external reference vehicles or technicians, thus eliminating time loss while maintaining reliability.
Solution Approach 2:
Ordinary vehicles equipped with sensors are utilized not only for their primary transportation function but also as mobile calibration reference points. These vehicles serve multiple purposes: normal operation and quality measurement of RSU sensors, reducing the need for dedicated reference vehicles and technicians.
2Adaptability or versatility
If multiple manufacturers provide RSU sensors, then variety and availability improve, but data quality varies significantly between manufacturers
Solution Approach 1:
A feedback mechanism is established where vehicles transmit their sensor measurements to the RSU, which then compares these with its own measurements. This feedback loop enables continuous quality assessment of different manufacturers' sensors, allowing the system to adapt and identify reliable data sources while maintaining manufacturer variety.
3Measurement precision
If vehicles transmit detailed sensor data to server, then quality measurement accuracy improves, but communication resources and data transmission load increase
Solution Approach 1:
Instead of transmitting all raw sensor data, the system extracts only the essential comparison results - specifically, the differences between RSU sensor values and vehicle sensor values. This extraction approach maintains measurement precision by focusing on quality indicators while significantly reducing communication resource consumption.
Data Source
Figure 1
Figure 2~4
Figure 5
AI summary
The invention refers to a vehicle (1, 4, 5) and a sensor (2), which are configured for quality measurement of a road side unit (3). The vehicle (1, 4, 5) comprises at least one sensor (11, 12, 13) a communication module (30) and a controller (40). The controller (40) is configured for receiving a first message (111) from the RSU (3) via the communication module (30), the first message (111) being based on a second sensor value (102) obtained by a sensor of the RSU (3) and corresponding to a first sensor value (101) detected by the sensor (11, 12, 13) of the vehicle (1). The controller (40) is further configured for determining a deviation (104) based on the first sensor value (101) and the second sensor value (102) and transmitting a second message (112) to the server (2) via the communication module (30), the second message (112) comprising the deviation (104). Further, the invention relates to a method of a vehicle (1) and a method of a server (2).