RGANFormer: Relativistic Generative Adversarial Transformer for Time-Series Signal Forecasting on Intelligent Vehicles
Author:
Affiliation:
1. Cranfield University,School of Aerospace, Transport and Manufacturing,Bedfordshire,U.K.,MK43 0AL
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588746.pdf?arnumber=10588746
Reference34 articles.
1. Learning from the Dark Side: A Parallel Time Series Modelling Framework for Forecasting and Fault Detection on Intelligent Vehicles
2. Application of Controller Area Network (CAN) bus anomaly detection based on time series prediction
3. Energy oriented driving behavior analysis and personalized prediction of vehicle states with joint time series modeling
4. Road detection using support vector machine based on online learning and evaluation
5. The Viability of Using Automatic Vehicle Identification Data for Real-Time Crash Prediction
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