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Master Thesis: Device SW Research

Job Description

Date: Feb 4, 2020

Light-weight Augmented Reality on-the-go

 

Background

The high-bandwidth and low-latency performances of 5G have the potential to enable unprecedented and disruptive use cases. A class of new services that is sought after by a wide range of verticals requires the provision of real-time light-weight AR solutions that are fully mobile. To exemplify these applications, the focus of this Master Thesis is on the exploration of a set of AR services designed to support professional and amateur cyclists during their daily on-the-go activities. This represents a relevant area of development for future XR services, since the HW solution at the user side needs to be as light as possible, thus implying that most of the processing needs to be occurring at the network’s edge. At the same time, due to the significant speed that can be reached by bikes, the computations and resulting visual manifestations in the users’ devices need to perform at very low latency, making it a challenging case for 5G.

 

Thesis Description

An interesting dimension for the proposed investigation is represented by the processing requirements needed on-board of the bikes vs. those required at the network’s edge, for a set of applications designed to support riders in both navigation (e.g. way-finding) and to perform as Advanced Rider-Assistance Services (ARAS), i.e. intended to improve the safety of the riders.

  • Can such services be provided over 5G, with a “thin-client” at the user side?
  • Are there tasks/functionalities that cannot be implemented at the edge?

 

Another critical research dimension will target the design and evaluation of alternative HMI solutions that are specific for this use case. Depending on the traffic condition, riding location and user preferences, AR overlays could be distracting, potentially leading to overall decreased safety. An interesting approach would therefore be to target an adaptive interface, capable of transitioning from “very rich” to “essential” in function of these input dimensions.

 

A set of different wearable devices will be available to perform this master thesis, ranging from full-fledged AR solutions, like Magic Leap, to more light weight approaches represented by Tobii eye-tracking Glasses, which do not have a screen and will use the riders’ own phones to display visual feedback and augmentations. For the HMI design exploration, a possibility to go beyond the Field of View (FOV) limitations of current devices is to use VR headsets, allowing to provide augmentations over the video feed from their front-facing cameras. While some of the studies will be performed in lab-controlled settings, the resulting technology should be in principle demonstrable and usable “on the go” by a set of real bikers participating to a testing panel over several days.

 

Qualifications

We are looking for a self-motivated and creative student with the following qualifications: 

Master student in the area of Engineering Physics, Electrical Engineering, Computer Science, or similar.

  • Fluency in English
  • Excellent analytical skills
  • Hands-on programming experience
  • Experience with computer graphics and computer vision
  • Ability to work independently
  • Understanding of networking concepts
  • Understanding of User Experience, Quality of Experience, Experiment Design
  • Understanding of XR, especially Augmented Reality.

 

Last Day to Apply: 18th of February 2020

Contact: Agnes Westerberg, Recruiter  agnes.westerberg@ericsson.com

 

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Primary country and city: Sweden (SE) || || Stockholm || Stud&YP

Req ID: 329872