GPS data collected from "Xinda" autonomous vehicle of Chang'an University

Citation Author(s):
Yukun
Fang
School of Infomation Engineering，Chang'an University
Submitted by:
Yukun Fang
Last updated:
Tue, 05/17/2022 - 22:17
DOI:
10.21227/5g7e-3475
Data Format:
GPS data format
Research Article Link:
A Fault Detection and Diagnosis System for Autonomous Vehicles Based on Hybrid Approaches
License:
Creative Commons Attribution
1310 Views
Categories:
Machine Learning
Transportation
Sensors
Keywords:
GPS data；Autonomous vehicle; Fault Detection
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Abstract 

The file 'GPS_P2.zip' is the dataset collected from the GNSS sensor of "Xinda" autonomous vehicle in the Connected Autonomous Vehicles Test Fields (the CAVs Test Fields) Weishui Campus,Chang'an University.

The file 'fault.zip' is the simulated faults in the healthy data in '.mat' format, where X_abrupt, X_noise and X_drift represent abrupt faults, noise and drift in the long run are added into the healthy data, respectively.

The file 'xindaBrakeApproximationTraing.zip' is the data collected from the brake system from 'Xinda', where the meaning of each column is 'brake hydraulic pressure', 'velocity', 'acceleration', respectively.

Instructions: 

Please refer to the 'DataFormat.txt' file to extract the useful fields you need to train your model.

Comments

Thanks

Submitted by Prakash Periasamy on Thu, 01/27/2022 - 20:33

Dataset Files

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Documentation

AttachmentSize
File 'DataFormat.txt' explains the data format of the dataset332 bytes

 

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