abstract
- © 2022 IEEE.Driver assistance systems (DAS) seek to provide relevant information for decision-making in favor of passenger safety, the driving experience and the efficient use of resources. The use of advanced DAS or ADAS is becoming increasingly important and is an area of research with great potential. The contribution of this work is the complete design and validation of an ADAS to estimate fuel consumption, according to certain scenarios. An architecture is proposed as well as the hardware and software for the reading of signals, the data transportation through the ADAS system and their correct storage and processing to obtain results that contribute to decision making. The contribution includes the design of a human-machine interface in a smartphone application and the use of a professional simulator (Dynacar) to validate the preliminary performance of the ADAS. This work could be the baseline for more complex ADAS implementations towards a more resource-efficient and safer driving experience.