Intellias - AI & Machine Learning in Automotive
To introduce safe, personalized, and predictable autonomous driving experiences, OEMs and Tier 1 suppliers have been investing in automotive grade AI solutions, predictive analytics, and machine learning in automotive. AI automotive algorithms, artificial neural networks, and machine learning for automotive help smart vehicles see and interpret road environments up to 99.8% better than human drivers. Sophisticated AI algorithms help in-vehicle systems learn from drivers, other vehicles, other traffic participants, and infrastructure.
Our AI & machine learning in automotive services
Intellias helps introduce machine learning in automotive industry. We provide engineering services for OEMs and automotive AI solution providers that use computer vision to recognize road signs and analyze patterns of human behavior to make data-driven decisions on the road. Applied to vast quantities of historical and real-time data, machine learning for automotive can predict travel time, traffic congestion, and even vehicle breakdowns. The adoption of machine learning in automotive can also offer route recommendations based on fuel consumption and even parking availability.
Smart routing and POI optimization
Teaching a vehicle the most commonly used routes and points of interest with artificial intelligence in automotive
In-vehicle intelligence
Reinforcing communication among navigation systems, human machine interfaces, and location platforms to inform drivers about hazardous road situations
Computer vision
Enabling lane detection and recognition of pedestrians, traffic, and road signs based on deep learning methodology
Predictive decisions
Predicting road conditions in advance to make data-driven decisions based on smart analytics and big data
Predictive vehicle maintenance
Collecting data from in-vehicle units and applying predictive analytics to alert drivers about urgent or planned maintenance