  We present nuReality, a virtual reality 'VR' environment designed to test the
efficacy of vehicular behaviors to communicate intent during interactions
between autonomous vehicles 'AVs' and pedestrians at urban intersections. In
this project we focus on expressive behaviors as a means for pedestrians to
readily recognize the underlying intent of the AV's movements. VR is an ideal
tool to use to test these situations as it can be immersive and place subjects
into these potentially dangerous scenarios without risk. nuReality provides a
novel and immersive virtual reality environment that includes numerous visual
details (road and building texturing, parked cars, swaying tree limbs) as well
as auditory details (birds chirping, cars honking in the distance, people
talking). In these files we present the nuReality environment, its 10 unique
vehicle behavior scenarios, and the Unreal Engine and Autodesk Maya source
files for each scenario. The files are publicly released as open source at
www.nuReality.org, to support the academic community studying the critical
AV-pedestrian interaction.
