The goal of this research is the development of a driver assistant feature, which can warn the
driver in case a pedestrian is in a potential risk due to sudden intention to cross the road.
The process of crossing pedestrian is defined as the changing of pedestrian orientation on
the curb toward the road. We built a Convolutional Neural Network (CNN) model combined
with depth sensing camera to estimate the pedestrian orientation and distance from the
vehicle. The model detects the higher human body keypoints in 2D space while the depth …

Due to the absence of a human driver, the introduction of fully automated vehicles (FAVs)
may bring new safety challenges to the traffic system, especially when FAVs interact with
vulnerable road users such as pedestrians. To ensure safer interactions between
pedestrians and FAVs, this questionnaire-based study aims to understand Australian
pedestrians' intention to engage in risky road-crossing behaviors when they interact with
FAVs vs. human-driven vehicles (HDVs). A 2× 2 between-subject design was utilized, in …