Project Info

Networked Multi-user Augmented Reality

Qi Han
qhan@mines.edu
Networked robots are the needed cost-effective medium to support dynamic sensor capture and help usher in the next generation of societal VR/AR applications including training/education, medical rehabilitation, first responders, remote monitoring for the weather and environmental sciences and large-scale infrastructures, and transportation. This course is an exploratory study to use networked AR for underground safety, aiming to answer the following questions: what are the fundamental performance limits/bottlenecks of networked VR/AR? Will innovations be required at all layers of the protocol stack to help overcome them and what will be the required novel network architectures? Are network bandwidth and latency the only major performance factors and which one is more relevant? How can system and network scalability and end-to-end reliability be introduced for such demanding applications?

More Information:

Grand Challenge: Enhance virtual reality.
This will be achieved via various activities, including reading papers and working with actual hardware to conduct experiments. HTTP://pecs.mines.edu

Primary Contacts:

Qi Han

Student Preparation

Qualifications

Student should be familiar with basic data structures and C/C++/Python programming and willing to learn how to program mobile phones.

TIME COMMITMENT (HRS/WK)

10

SKILLS/TECHNIQUES GAINED

Student will develop an understanding of embedded systems programming, distributed systems, and augmented reality.

MENTORING PLAN

The student will be working closely with grad students on the same project; attending weekly project meetings with faculty to discuss problems and solutions.

PREFERRED STUDENT STATUS

Junior
Senior
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