Latest revision as of 23:33, 28 January 2021

Abstract

Nowadays the number of on-board sensors increases continuously due to their benefits in many different areas, such us driving efficiency, maintenance, autonomous driving, etc. Usually the vehicle itself and its users are those which take direct advantage from these benefits. By leveraging Internet-of-Things (IoT) technologies, it is possible to abstract data and functionalities provided by on-board sensors and actuators exposing relevant services outside the vehicle to external cloud-based applications and other vehicles. With these technologies the vehicle is thus transformed in an IoT object which can be part of external IoT platforms. This work focuses on the design and implementation of an in-vehicle IoT platform which exposes internal functionalities as IoT services enabling also the concept of “Virtual Sensor”, which leverages sensor fusion techniques to provide enhanced services combining raw data coming from on-board devices. This IoT platform solution is validated through a use case in which virtual real-time pothole detection sensor is implemented to evaluate the road surface conditions. In such use-case, multi-source sensing information - coming from 6LoWPAN sensors as well as Smartphones and Inertial Measurement Units - is fused, enabling IoT applications such as cooperative safety and early road maintenance.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.5220/0007690602320240

• https://doi.org/10.5220/0007690602320240 under the license cc-by-nc-nd

• https://dblp.uni-trier.de/db/conf/iotbd/iotbd2019.html#BosiFBP19,

https://academic.microsoft.com/#/detail/2945847621