Renault Group

Solution

Renault Group describes an onboard AI stack for driver-assistance and cabin-personalization features across vehicles such as New Clio, New Renault Austral, and New Renault Scenic. Cameras and other vehicle sensors generate image and signal data that is handled by growing numbers of ECUs. Renault says predictive AI based on neural-network learning interprets those signals, while symbolic AI applies fixed rules such as highway-code logic so the vehicle behaves appropriately in specific situations. A camera above the rear-view mirror feeds Intelligent Speed Assistance (ISA), where AI trained on millions of photos recognizes road signs and displays the current speed limit on the dashboard; the same camera-signal interpretation pipeline also supports Adaptive Cruise Control and Lane Assist. In the cabin, an A-pillar camera identifies the driver so OpenR link can personalize menus, media, seat and mirror settings, and Google apps, while the Take a break! app analyzes facial movements to detect fatigue and trigger alerts. The source does not describe a separate storage tier; it emphasizes that the models are fully integrated onboard, cannot self-update, and were validated over millions of kilometres.

Data flow

Vehicle cameras and sensors feed image and signal data into onboard ECUs, where predictive AI models interpret signs and driver cues while symbolic AI applies rule-based logic. The resulting outputs are served through ISA, ACC, and Lane Assist in the vehicle, through dashboard speed-limit display, through OpenR link personalization, and through Take a break! fatigue alerts.