• Active Learning with Noisy Labelers for Improving Classification Accuracy of Connected Vehicles 

      Abdellatif A.A.; Chiasserini C.F.; Malandrino F.; Mohamed A.; Erbad A. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Machine learning has emerged as a promising paradigm for enabling connected, automated vehicles to autonomously cruise the streets and react to unexpected situations. Reacting to such situations requires accurate classification ...
    • Platoon Transitional Maneuver Control System: A Review 

      Badnava, S.; Meskin, Nader; Gastli, A.; Al-Hitmi, M.A.; Ghommam, J.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Connectivity and autonomy are considered two of the most promising technologies to improve mobility, fuel consumption, travel time, and traffic safety in the automated transportation industry. These benefits can be realized ...