New data sources such as video promise to provide insights into how humans navigate
urban infrastructure and enable analysis of human-in-the-loop interactions. This work …

Access to high-quality data is an important barrier in the digital analysis of urban settings,
including applications within computer vision and urban design. Diverse forms of data …

The density and complexity of urban environments present significant challenges for
autonomous vehicles. Moreover, ensuring pedestrians' safety and protecting personal …

The density and complexity of urban environments present significant challenges for
autonomous vehicles. Moreover, ensuring pedestrians' safety and protecting personal …

Pedestrian safety is a priority for transportation system managers and operators, and a main
focus of the Vision Zero strategy employed by the City of Austin, Texas. While there are a …

Project Description: Level five automated vehicles are quickly moving to the forefront of the
automotive industry. They are poised to make unparalleled advances in safety and …

In this project, the authors designed and implemented a user-friendly interface for pedestrian
crossing and vehicle conflict detection, leveraging the OpenCV computer-vision libraries …

Crowded metropolises present unique challenges to the potential deployment of
autonomous vehicles. Safety of pedestrians cannot be compromised and personal privacy …

As machine intelligence and human activity mix with increasing interactivity on streets,
collection and interpretation of pedestrian behavior data is becoming a critical component of …

Transportation agencies often own extensive networks of monocular traffic cameras, which
are typically used for traffic monitoring by officials and experts. While the information …