Augmented and virtual reality (AR/VR) are at the frontier of mobile computing. While AR/VR applications are gaining popularity today, the technologies to support these applications are far from mature. This talk will first outline the current state of mobile AR/VR platforms, including what functionality is currently available, what is needed/desired, and how edge computing can support the low latency and high bandwidth requirements of AR/VR. Next, the talk will discuss the role of deep learning to support AR/VR through two examples: object detection for AR, and user behavior prediction for VR, along with their associated systems, control, and management challenges. Finally, the talk will conclude with future directions for networked AR/VR.

Prof. Jiasi Chen