NYU Tandon professors build AI to help autonomous vehicles locate themselves on digital maps
Self-driving cars could account for 21 million new vehicles sold every year by 2035. Over the next decade alone such vehicles — and vehicles with assisted-driving technology — could deliver $1 trillion in societal and consumer benefits due to their improved safety.
For autonomous vehicles to make good on that promise they will need onboard artificial intelligence (AI) technology able to link them to highly detailed maps that reflect every change in the status of lanes, hazards, obstacles and speed limits in real-time.
Researchers at the NYU Tandon School of Engineering are making this critical machine-to-machine handshake possible. Yi Fang, a research assistant professor in the Department of Electrical and Computer Engineering and a faculty member at NYU Abu Dhabi, and Edward K. Wong, an associate professor in the NYU Tandon Department of Computer Science and Engineering, are developing a deep learning system that will allow self-driving cars to navigate, maneuver and respond to changing road conditions by mating data from onboard sensors to information on HERE HD Live Map, a cloud-based service for automated driving. The NYU Multimedia and Visual Computing Lab directed by Fang will house the collaborative project.