AUTOMATED VEHICLES: NYU team developing AI to upgrade HD maps for AVs

Feb. 24, 2017

Two NYU professors are developing a deep learning system for self-driving vehicles using Here's cloud-based HD Live Map system

Researchers at New York University (NYU) are developing artificial intelligence (AI) technology that will allow self-driving vehicles to navigate with centimeter precision using Here’s cloud-based HD Live Map system.

For autonomous vehicles to deliver their expected societal and consumer benefits they will need onboard 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.

Edward K Wong, an associate professor in the NYU Tandon Department of Computer Science and Engineering and Yi Fang, a research assistant professor at NYU Abu Dhabi, 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’s cloud-based HD Live Map for automated driving.

The NYU team recently received a gift fund from Here, making it one of the company’s first university research and development partners in its HD Live Map program. High-definition (HD) maps meant for machine-to-machine (M2M) communication must be accurate to within 4-8 in., as self-driving vehicles need to continuously update, or register, their location on these maps with an equally high degree of accuracy. The goal of the collaborative research is to enhance car-to-map precision to within 4 in.