Stellantis, created through the merger of GROUPE PSA and FCA Group, is one of the world’s leading automakers and a mobility provider, guided by a clear vision: to offer freedom of movement with distinctive, affordable and reliable mobility solutions. In addition to the Group’s rich heritage and broad geographic presence, its greatest strengths lie in its sustainable performance, depth of experience and the wide-ranging talents of employees working around the globe. Stellantis will leverage its broad and iconic brand portfolio, which was founded by visionaries who infused the marques with passion and a competitive spirit that speaks to employees and customers alike. Stellantis aspires to become the greatest, not the biggest while creating added value for all stakeholders as well as the communities in which it operates.
Example of driving video analysis – Detection of nearby vehicles
Early 2019, Deepomatic was selected following an international call for tender issued by STELLANTIS, formerly known as PSA, who wanted to optimize their data indexation and anonymization Deepomatic thus now provides their R&D department with a no-code development platform used to train deep learning-based image recognition algorithms. Thanks to this platform, Deepomatic makes it possible for detection models to scan intern data in order to flag unique driving conditions (i.e. tunnel, snow etc.) and anonymize them if necessary.
CONTEXT AND OBJECTIVES
As part of their R&D program, STELLANTIS wishes to further develop their technology behind self-driving vehicles. More particularly, this project helps gather a considerable amount of contextual images of various driving conditions: precious information which adds real data to the basic driving script and to contextual environments.
When it comes to Deep Learning, the first objective is to feed advanced driver-assistance systems (ADAS) with indexed data. In doing so, STELLANTIS also fulfills their second objective, which is to anonymize data in order to further comply with GDPR.
Once the models developed by Deepomatic are built into the platform, they are extensively used in order to make manual intervention unnecessary. As a result, Deepomatic’s automatons reduce expenses whilst increasing reliability at the same time.
The platform further supports STELLANTIS’ compliance with GDPR (General Data Protection Regulation – EU)
Deepomatic works hand in hand with R&D experts when deploying AI powered technologies. Their input in terms of concept annotations and model deployment within their environment’s features has been valuable.
The project runs on either Deepomatic’s private cloud or local servers, so as to integrate Deepomatic applications with existing data analysis software.
“Deepomatic and STELLANTIS’ team collaborated fully and effectively to integrate the solution in a variety of technical environments.” underlines Fabien FIGUERES, BigData-AI methodologies engineer and Jean-Louis SAUVAGET, Vehicle Functional Architecture Expert / R&D STELLANTIS.