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Master Thesis: Monocular XR Object Localization with World Models

Ericsson | Telecommunications
1h 36m ago
On-site
Project
Sweden

Join our Team

About this opportunity:

Extended reality (XR) applications need reliable estimates of object distance and motion. However, future lightweight XR and AI glasses may not include dedicated depth sensors because of cost, power, and form-factor constraints.

This thesis will investigate whether a pretrained world model, such as NVIDIA Cosmos, can use semantic and scale-related priors to improve metric localization of distant moving objects from monocular XR video. The approach will be evaluated against built-in depth sensing and conventional monocular depth estimation.

What you will do:

  • Build a Quest 3 RGB-video capture pipeline with server-side inference.

  • Keep the Cosmos backbone frozen and train a lightweight probe to estimate object distance and motion.

  • Evaluate the system in controlled scenes with walking people and moving objects, using measured ground truth and depth-estimation baselines.

  • Assess accuracy, computational requirements, latency, and uplink requirements.

The skills you bring:

  • A working prototype.

  • A documented dataset and measurement setup.

  • Quantitative accuracy and latency results.

  • A thesis report with recommendations for camera-only XR perception and network-assisted spatial intelligence.

Why join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: Sweden (SE) || Stockholm

Req ID: 793531  

Required Languages

🇬🇧 English

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1h 36m ago

Master Thesis: Monocular XR Object Localization with World Models

Ericsson·Telecommunications
🏢On-site
|Sweden
Computer Vision Engineer
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