Electrical Engineering

Title: Optimization of estimating intrinsic parameters of a camera using a robot arm by Shilpa Sudhir
Date and time: 20 Oct, 13:30-14:30 Room: E2 Room 3311 LunneRummet Zoom link: <a rel="noopener" href="https://chalmers.zoom.us/j/8362581794" target="_blank" title="https://chalmers.zoom.us/j/8362581794">https://chalmers.zoom.us/j/8362581794</a>
Supervisors: Anders Ericsson and Jörgen Thaung&nbsp;
Examiner: Yasemin Bekiroglu
Opponents: Adhithyaa Ramesh and Prasanth Balaji P M.
Abstract: Eye-tracking technology is applied across industries such as automotive, aerospace, and human-computer interaction, where precise gaze estimation relies on the accurate calibration of eye-tracking cameras. The motivation behind using a robotic arm for the intrinsic calibration of an eye-tracking camera instead of a manual procedure stems from several key advantages related to precision, repeatability, and efficiency. The integration of a robotic arm into the intrinsic calibration process enhances the precision, repeatability, and controllability of camera pose positioning relative to the calibration target, thereby facilitating a more accurate and efficient calibration outcome. This eliminates the challenges and inconsistencies associated with manual camera movements and opens the door for automating and scaling the calibration process with minimal human involvement. The robotic arm ensures a level of consistency and reliability that would be hard to achieve manually, making it a compelling choice for eye-tracking camera calibration, especially in high-precision applications.
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Shilpa and Yasemin

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Presentation of master thesis

Master thesis presentations at Electrical Engineering

20 October, 2025

13.30-14.30 Shilpa Sudhir, MPSYS