A new study by Cornell researchers developed a first-of-its-kind model to control traffic and intersections in order to increase autonomous car capacity on urban streets of the future, reduce congestion and minimize accidents.Read more
The University of Illinois at Chicago’s 2019 Urban Forum, titled “Are we there yet? The myths and realities of autonomous vehicles,” will examine the questions and uncertainties surrounding not only the societal and legislative impact of autonomous vehicles, but also the technological advances needed for these vehicles to proliferate.Read more
Before self-driving vehicles become a permanent fixture on our roads they need to overcome two challenges—figuring out where they are and their range of motion (localization) and modeling their surroundings to avoid running into stuff (mapping).
In the world of robotics, it’s called SLAM—simultaneous localization and mapping. Researchers at the University of Delaware have developed novel SLAM algorithms that offer the best solution to date for giving these vehicles a sense of direction.