Sma-RTy has been selected to showcase its Multi access Edge Computing solution at the MEC Hackathon held at the Edge Computing Congress in London, 17-18 September 2019. The event is endorsed by ETSI and organized by Intel, VIAVI, MobiledgeX, Knect365, Huawei, Saguna, Telefonica.

We will present an innovative driving assistant technology validating the edge computing in a 5G automotive scenario.

The solution consists of an Advanced Driver-Assistance System (ADAS) providing driving support to real-life SmartCity scenario. It exploits road side sensors and cameras as well as information provided by on board units (OBU) or smartphone APP to perform real-time elaboration of the behavior of vehicles in terms of (i) safety, (i) correctness of driving operations, and (iii) ecoguide (i.e., actions aiming at limiting the ecological impact of the vehicle and optimizing its consumption).

In case of a Smart City scenario, the system is able to detect the approaching vehicles and notify the drivers about driving corrections, e.g. the speed and direction of the vehicle. Differently with respect to current ADAS system, which focus on accident avoidance (e.g., by preempting the driver’s actions through emergency braking), the 5G-DT system is able to suggest the driver in advance about the correct and safe way to approach the situation, such that the risk to eventually incur in an emergency braking is drastically minimized, thus reducing safety risks while improving ecological behaviors.

During the release of the current application, we started to shape it to be compliant with the MEC specification. In particular, through a preliminary study of the ETSI documentation, we shall use the following APIs:

ETSI GS MEC 011 – Mobile Edge Platform Application Enablement

ETSI GS MEC 012 – Radio Network Information API

ETSI GS MEC 013 – Location API