A new framework for vision-based aggressive driving

Researchers at the Institute for Robotics and Intelligent Machines (IRIM) of the Georgia Institute of Technology have recently proposed a new framework for aggressive driving using only a monocular camera, IMU sensors and wheel speed sensors. Their approach, presented in a paper pre-published on arXiv, combines deep learning-based road detection, particle filters and model predictive […]

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Where you go tells who you are—and vice versa

November 19, 2018—Estimating travel demand in a city is a critical tool for urban planners to understand traffic patterns, predict traffic congestion, and plan ahead for transportation infrastructure maintenance and replacement. For years, researchers have used the classic practice of multiplying the number of trips per day per person for different demographic groups to model […]

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