Active Learning-based Classification in Automated Connected Vehicles

18 Feb 2020 Abdellatif Alaa Awad Chiasserini Carla Fabiana Malandrino Francesco

Machine learning has emerged as a promising paradigm for enabling connected, automated vehicles to autonomously cruise the streets and react to unexpected situations. A key challenge, however, is to collect and select real-time and reliable information for the correct classification of unexpected, and often rare, situations that may happen on the road... (read more)

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Categories


  • NETWORKING AND INTERNET ARCHITECTURE
  • SIGNAL PROCESSING