On Fault Classification in Connected Autonomous Vehicles Using Supervised Machine Learning
Abdelrahman Khalil,Mohammad Al Janaideh,Abdelrahman Khalil,Mohammad Al Janaideh
Different health-monitoring techniques were considered in the literature to enhance the safety and stability of Connected Autonomous Vehicle (CAV) platoons. The health-monitoring processes include fault detection, localization, and mitigation. It is evident that mitigating these faults is faster and more reliable if the fault structure is known. To this end, we consider classifying the fault class...
