Researchers asked participants about their personal driving behaviors such as speed, changing lanes, accelerating and decelerating and passing other vehicles. They also asked them the same questions about their expectations of a self-driving car performing these very same tasks. The objective of the study was to examine trust and distrust to see if there is a relationship between an individual’s driving behaviors and how they expect a self-driving car to behave.
New Brunswick, N.J. (June 26, 2020) – Rutgers engineers have created a 3D model of last month’s devastating break in the Edenville Dam in Michigan, using the emerging technology of computer vision to analyze a smartphone video posted on social…
New Brunswick, N.J. (Jan. 22, 2020) – Rutgers University–New Brunswick expert Cecilia Feeley is available for interviews on transportation and mobility issues for people on the autism spectrum. Feeley, transportation autism project manager at the Rutgers Center for Advanced Infrastructure and…
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.
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.
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.