Research topics for students

Active topics for possible student theses and indivudual/team projects.

We will provide all required hardware and sensors. We also have a lab environment with all lab equipment where you can perform development and experiments.

If you are a bachelor student and feel that you can handle some specific master topic, you can take it and contact us at mairo.leier_at_taltech.ee, uljana.reinsalu_at_taltech.ee or karl.janson_at_taltech.ee for further discussion. 

Topics for BSc and MSc students

Design and assembly 3D printed parts for Taltech customized drone

(Added 03.02.2025)

Description:

TalTech EAI Lab has  two drones with slightly different hardware. We need to design for our new drone some plastic materials to cover electronics, add custom sensors and fly with different weather conditions outdoor.

Explanation:

You should have previous experience with SolidWorks.

If you have also experience with hardware and electronics you can get hands on with testing newest sensors for stereo vision, night vision, thermal cameras and so on.

Expected Outcomes:

  • Make a 3D model of our new drone with some customized parts.

  • Print parts with 3D printer and assembly your designed parts.
  • Perform test-flights to prove f your design.

Person detection safety feature development

(Added 10.09.2024)

Description:

Camera system is detecting and tracking a person or multiple persons. If person is closer than the threshold (5 meters) and person’s trajectory is matching with the tracking device trajectory, then the system should raise an alarm. It behaves like a car that detects potential collision with the person while driving.

Device is moving in an open area up to 25 km/h. Different persons may appear to the device field of view from different areas and different speeds, also may stand by at one place.

Explanation:

Camera should be stereo camera that is able to detect distance to the object. For testing purposes Intel RealSense D435 camera could be used. Nvidia Jetson Nano could be used for processing the camera feed and perform real-time detection and tracking.

Yolo v9 or v10 nano/small could be used for person detection model.

Tracking mechanism should be researched to select a appropriate one. It is important that tracker does not loose an object. 

Expected Outcomes:

  • System implementation should be done in Python.
  • System can detect person and its distance.

  • System should be able to track one or more (up to 3) persons.

  • If person is closer than 5 meters and device’s trajectory is about to hit the person (or is closer than 0.5 meters to the person) then warning is raised.
  • There should always be a warning active if at least one person is closer than the threshold and their trajectory collides with the tracking device one.
  • Optional: Create a visual interface to show device’s trajectory and detected object trajectory, for demonstration purposes.

Drone hardware and sensorics development

(Added 03.02.2025)

Description:

TalTech Embedded AI Research lab has a Voxel development drone that needs to be equipped with custom hardware. We would replace computing hardware, add some cameras, sensors and need to write scripts and drivers to get all software correctly working.

Depending on the status of the development you could be involved some of these tasks. You will have a chance to learn how the drone software works, experiment with different hardware and make some test flights to validate your results.

Explanation:

You should have previous experience in Python, understand the basics of camera and sensor hardware.

Preferred master students or bachelor student with good previous experience in software and hardware development.

Expected Outcomes:

  • Hardware that is successfully integrated to the drone electrically.

  • Software, APIs and scripts that interact with the hardware and demonstrate it is working stable.
  • (More specific tasks and expected outputs are being developed)

PhD research topics

No topics currently

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