Driver Assistant Solutions with Android

One of most exciting engineering challenges today is building a reliable self-driving car or driving support system. Today's vehicles offer a huge variety of sensors that can feed any algorithm with enough data to provide a pretty solid driving support experience. On top of this, despite some differences, smartphones sensors are robust enough to provide a rich set of environmental information. During this presentation, we'll discover how to implement computer vision solutions on Android with OpenCV, and how to mash-up device and vehicle data to build a driver assistant solution with open source technologies.

Giorgio Natili, McGraw Hill Education

On paper, Giorgio Natili is an engineering lead at McGraw-Hill Education where he spearheads the accessibility and mobile/reading experience initiatives for the company’s LearnSmart division. On the job, Giorgio is a strong proponent of agile development practices whose passion for usable, maintainable and testable code is only surpassed by his determination to make things work. In addition to standards-based application development, Giorgio’s areas of expertise include real-time communication and surfing off the coast of his native Italy. His previous speaking engagements include Adobe Max, 360|Flex, FITC, Mobile Web Dev Conference, Mobile Tea and many other community-driven events in both Europe and the United States.