UROP Openings

Have a UROP opening you would like to submit?

Please fill out the form.

Submit your UROP opening

3d Positioning & Sensor Fusion for Mixed Reality


Term:

Fall

Department:

MAS: Media Arts and Sciences

Faculty Supervisor:

Joe Paradiso

Faculty email:

joep@media.mit.edu

Apply by:

ASAP

Contact:

Cedric Honnet: honnet@media.mit.edu

Project Description

From Neurosciences (rodent tracking) to Artistic Performances (Dancer tracking) or gaming (VR), accurate indoor 3d positioning has applications in almost every industry. In the context of an international collaboration, we miniaturized the HTC Vive Tracker and called it the "Hive Tracker": http://HiveTracker.github.io It performs the basic positioning, and we developed some theoretical parts of the calibration as well as the sensor fusion algorithm (Kalman Filter), but they still need to be verified, implemented, simulated, ported and characterized. If you enjoy Maths, Robotics, and Electronics, the experience that you will acquire in the project will reveal useful in many contexts and applications. More details about the project can be found here: https://docs.google.com/document/d/1pNqCdUkkI8hBsYokwHzWzamcNdn9_gCWBC4_MTGRRdQ/

Pre-requisites

Autonomous and motivated EECS student (seniors or experienced juniors) with a strong focus on math and/or signal processing. C/C++ is necessary and some knowledge about the Kalman Filter seems almost mandatory. [ TL;DR => Keywords: Kalman Filter, Embedded Systems, Human Computer Interaction, Mixed Reality ]