To bring highly automated driving to the market tomorrow, OEMs and Tier 1 suppliers are racing each other today in the adoption of machine learning and predictive analytics algorithms.
The sophisticated AI algorithms that we implement help in-vehicle solutions learn from multiple contexts—driver, vehicle, other vehicles, road infrastructure—to make driving a safer, more personalized, predictive and comfortable experience.
Applied to vast amounts of historical and real-time data, the AI algorithms help predict travel time, traffic congestion and vehicle breakdown, provide route recommendations based on fuel consumption and parking lot availability.
Other capabilities built upon driving patterns and driver preferences include modeling driving behavior based on weather and daytime, tracking incident clear-up time, monitoring road segments for traffic tickets, tracking warranties on vehicles and their parts, and more.
The areas of Machine Learning applicability:
- Routing, Point of Interest in navigation
- Human-Machine Interface UX improvements
- Intelligence in vehicle units via big data analysis
- Safety systems