Multi-Head Attention Machine Learning for Fault Classification in Mixed Autonomous and Human-Driven Vehicle Platoons
Author:
Affiliation:
1. University of Toronto,Department of Electrical and Computer Engineering,Toronto,ON,Canada
2. Memorial University,Department of Mechanical Engineering,St. John's,NL,Canada
3. Bentley University,Waltham,MA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160426.pdf?arnumber=10160426
Reference40 articles.
1. Real-Time Detection and Estimation of Denial of Service Attack in Connected Vehicle Systems
2. Cooperative Vehicle Speed Fault Diagnosis and Correction
3. A Fault Detection and Diagnosis System for Autonomous Vehicles Based on Hybrid Approaches
4. Congested traffic states in empirical observations and microscopic simulations
5. Adaptive Fault-Tolerant Control of Platoons With Guaranteed Traffic Flow Stability
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