Luxoft unveils second generation automotive cockpit technology demonstrator

Based on Luxoft’s reference design platform and compliant with GENIVI Alliance requirements, AllView II encompasses a range of user experience (UX) and human machine interface (HMI) concepts such as multi-modal input with touch, gesture, eye-tracking and natural language voice systems as well as classic controllers. It also shows how the user interface changes when a vehicle enters autonomous driving mode, Car2x workload-adaptive HMI systems and seamless nomadic device integration for the connected car and IoT to meet a modern, social media-based lifestyle and dedicated automotive service offerings.

Vasily Suvorov, Luxoft’s vice president for technology strategy, said: “AllView II is designed to showcase our vision for how automotive cockpit environments need to evolve with the advent of new technologies and concepts. It also highlights the ways in which Luxoft’s development services can help achieve this.”

The AllView II cockpit-level HMI software system focuses specifically on the digital cluster, infotainment, driver monitoring, consumer-style driver inputs, and connected services, all contained within an integrated HMI software architecture and framework. Within the demonstration, UX and HMI focus on such concepts as natural language understanding and text-to-speech, gesture recognition and control and driver monitoring through eye tracking. In-vehicle infotainment focuses on social media access through an agile messaging co-pilot that provides the ability to safely react and respond while driving. It also delivers wireless device and cloud services integration, as well as improved navigation, telecommunication, and climate control capabilities.

“Our AllView II concept demonstrator highlights how automotive trends and technologies can be combined into a state-of-the-art, holistic vehicle cockpit concept that integrates multiple screens,” explained Georg Doll, Luxoft’s managing director of automotive. “This includes car head units and mobile devices, and also enables situation-aware human machine interaction where passengers help to reduce a driver’s workload.”