UniNet: A mixed reality driving simulator

dc.contributor.advisor	Zaman, Loutfouz
dc.contributor.advisor	Pazzi, Richard W.
dc.contributor.advisor	El-Khatib, Khalil
dc.contributor.author	Arppe, David F.
dc.date.accessioned	2020-03-04T15:59:43Z
dc.date.accessioned	2022-03-29T17:25:58Z
dc.date.available	2020-03-04T15:59:43Z
dc.date.available	2022-03-29T17:25:58Z
dc.date.issued	2019-08-01
dc.identifier.uri	https://hdl.handle.net/10155/1147
dc.description.abstract	Driving simulators play an important role in vehicle research. However, existing virtual reality simulators do not give users a true sense of presence. UniNet is our driving simulator, designed to allow users to interact with and visualize simulated traffic in mixed reality. It is powered by SUMO and Unity. UniNet's modular architecture allows us to investigate interdisciplinary research topics such as vehicular ad-hoc networks, human-computer interaction, and traffic management. We accomplish this by giving users the ability to observe and interact with simulated traffic in a high fidelity driving simulator. We present a user study that subjectively measures user's sense of presence in UniNet. Our findings suggest that our novel mixed reality system does increase this sensation.	en
dc.description.sponsorship	University of Ontario Institute of Technology	en
dc.language.iso	en	en
dc.subject	Mixed reality	en
dc.subject	Driving simulator	en
dc.title	UniNet: A mixed reality driving simulator	en
dc.type	Thesis	en
dc.degree.level	Master of Science (MSc)	en
dc.degree.discipline	Computer Science	en