Round Corner
Department of Computer and Information Science

Prosjekt 2023

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Faglærere (32)

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Oppgaveforslag (10)

AD - Visual Intelligence and accurate positioning on mobile devices

Task: Develop an app for mobile devices, that can be mounted in public transportation like busses, can access the camera of the device as well as relatively cheap and accurate positioning equipment with CPos corrections (cm accuracy) and have AI models for assessing and geo-referencing the condition of all road objects visible from the road (one application, other applications could be to create and update HD-maps, match real-time images to a reference for back-up localisation, collect data for neural rendering etc.).

Faglærer: Gabriel Kiss     Status: Valgbart     Egnet for: Gruppe     Lenke: plink

AI4Pathology - Digital pathology


Faglærer: Gabriel Kiss     Status: Valgbart     Egnet for: Gruppe     Lenke: plink

AI4TEE - Deep learning based automated cardiovascular therapy and diagnostics (GE Vingmed Ultrasound)

During cardiac interventions, in order to facilitate a correct device deployment, the relationship between the anatomy and the position of the instruments has to be known and presented to the surgeon. Therefore, tools that can automatically identify the position and orientation of the ultrasound probe and catheters in X-ray images as well as automatic localization of anatomic structures of interest in these images are highly desirable. Today most of these tasks are solved manually or semi-automatically, however automating them would improve the accuracy and also reduce the amount of time the interventionalists spend on aligning the images.
Possible topics:

Faglærer: Gabriel Kiss     Status: Valgbart     Egnet for: Gruppe     Lenke: plink

DT - Digital twin related projects

The vehicle industry, as well as software and hardware providers are rapidly developing sensor systems and artificial intelligence (AI) methods for sensing the road environment. Connected and Automated Vehicles (CAVs) are argued to have a large potential for accelerating traffic safety and efficiency. Digital twins allow not only to visualize how things work, but also simulate various future scenarios. This is particularly interesting for autonomous vehicles which can be trained in a simulated environment. Furthermore, changes to the algorithm can be validated in a digital twin before deployed on the vehicle. Building a digital twin of a nordic environment allows for development of AI techniques designed for such an environment.

Faglærer: Gabriel Kiss     Status: Valgbart     Egnet for: Gruppe     Lenke: plink

XR_eGov - Citizen Engagement with XR and E-governence

The concept of e-governance proposes the use of ICT technologies towards operation and outreach. Extended-Reality technologies has been proposed as a tool to capture citizen perception towards strategies and policies. The question of “How” these technologies can be utilized for the most efficient transfer of knowledge, communication and capturing feedback remain unanswered to a high extent. Subjective constraints such as personal beliefs and experiences further complicate the problem of objectifying citizen output. Hence, the aim of the research is to build tools that can be used for efficient citizen engagement.

Possible topics:

- XR application for citizen engagement

- Conceptualization of citizen engagement with XR


Faglærer: Gabriel Kiss     Status: Valgbart     Egnet for: Gruppe     Lenke: plink

XR4Colab - Remote Learning and Collaboration with Augmented Reality and Hololens 2

Augmented Reality (AR) can provide rich and interactive learning experiences and performance augmentation for remote distributed learners. The use of AR for collaboration and learning has significantly increased during the ongoing pandemic and has been widely adopted by several companies (e.g. Equinor), hospitals treating COVID-19 patients ( and educational institutions.

Faglærer: Gabriel Kiss     Status: Valgbart     Egnet for: Gruppe     Lenke: plink

XR4Edu - XR in Education

XR in a teaching scenario can provide students an immersive, interactive experience that cannot be achieved in the real world. As such it can be provide rich and interactive learning experiences for local and distributed learners. Therefore, XR can be a useful tool for teaching computer graphics and computer science algorithms but also it has been widely used in the medical field. The expensive, bulky simulators can be replaced by VR/AR tools that provide a realistic experience. Furthermore, combining 3D printed artifacts or existing anatomic models and augmenting them with virtual elements has been proved a very effective teaching tools.

Possible topics:
- Virtual university, merging existing tools in a joint app, tools for teaching computer graphics / deep learning concepts in VR
- Teaching echocardiography
- Teaching fetal ultrasound acquisitions
- Tools for understanding the relationship between heart function and cerebral blood flow in neonates (
- Collaborative learning in AR/VR

Faglærer: Gabriel Kiss     Status: Valgbart     Egnet for: Gruppe     Lenke: plink

XR4Med - Augmented reality tools for intra-operative applications (St. Olav, SINTEF)

The aim of this work is to extend a visualization framework using mixed reality, which may improve the way data is presented to an operator during a cardiac ultrasound exam or bronchoscopy procedure.
One of the main challenges for an operator during the procedure is to process the data coming from various image sources displayed on several screens scattered around the room and combine this with apriori knowledge in the form of segmented anatomic models.
By gathering information from important image sources using an existing open source research platform and presenting the data in an intelligent manner and then visualizing it in the operator's field of view, we hope to improve the ergonomic condition of the operator and increase the success rate of various procedure.
Possible topics:
- Bronchoscopy related
- Echocardiography related

Faglærer: Gabriel Kiss     Status: Valgbart     Egnet for: Gruppe     Lenke: plink

XR4QoE - Quality of Experience for XR

Quality metrices has been very well defined with 2D media, but XR based content with their complex attributes still lacks a rigid framework of “what is good quality?”. There is a plethora of factors that affects the human perceptual system over determining the quality of their XR experience. Hence, the aim of this project would be to target one or more influence factors and creating an objective understanding of XR quality.

Possible topics:

- Multimedia Streaming

- Color as a factor


Faglærer: Gabriel Kiss     Status: Valgbart     Egnet for: Gruppe     Lenke: plink

XRNevro - XR in Neuroscience (with St Olavs, Kavli, Vizlab)

Neuroscience is a developing discipline where novel technology-based tools have been used to understand the inner working of human brain and behavior. Towards this, Extended-Reality technologies can act as a great tool for visualization and interaction during therapeutic rehabilitations and assesments of different attributes of a subjects’ behavior. Since, XR environments are still constrained to competence of the hardware(s) and applications, there exists a huge gap of research than we aim to exploit. Furthermore, combining XR technology with computer vision, motion capture and psycho-physical experimentation can bring out significant research outputs.

Possible topics:

- Navigational Awareness

- Mirror therapy in XR

- MOCA assesment in XR


Faglærer: Gabriel Kiss     Status: Valgbart     Egnet for: Gruppe     Lenke: plink
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