Advanced Driver Assistance Systems (ADAS) have been one of the most active areas of studies in automotive sector in the last two decades. ADAS aim to support drivers by either providing warning to reduce risk exposures, or automating some of the control tasks to relieve the driver from manual driving of the vehicle. This work focuses on the definition of the sensors’ architecture for an urban battery electric vehicle (BEV) prototype, developed in the context of MOST - Centro Nazionale per la Mobilità Sostenibile, equipped with ADAS to improve its energy efficiency. An initial analysis is developed on the individual sensors, classifying them according to their characteristics, performances and actual ADAS use-case.