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Topics related to mapping, localization and learned driving
Organisatsiooni nimiAutonomous Driving Lab
KokkuvõteSelection of topics related to mapping, localization and learned driving:

1. Mapping
1.1. Map real-life features necessary for autonomous driving (BSc, MSc)
1.2. Build a 3D point cloud map and use it for localization (MSc)
1.3. Convert real-world spatial data into a usable format (BSc, MSc)

2. Localization
2.1. Localization using SfM point cloud (MSc)
2.2. Better positioning using smartphones (MSc)
2.3. Fallback to lane following in case of GNSS failure (MSc)
2.4. Setting up RTK base station for accurate positioning (BSc)

3. Base autonomy
3.1. Get a selected autonomous driving software stack to work with actual car (MSc)

4. Learned driving
4.1. Adapt CARLA Leaderboard for Tartu simulation (BSc, MSc)
4.2. Adapt VISTA simulation to use depth (MSc)
4.3. Adapt VISTA simulation for human driving (BSc)
4.4. Use VISTA to learn driving policy for real world (MSc)
4.5. Scaling laws for end-to-end driving (MSc)
4.6. Train end-to-end model on all of the world’s data (MSc)
Lõputöö kaitsmise aasta2022-2023
JuhendajaTambet Matiisen, Edgar Sepp
Suhtlemiskeel(ed)eesti keel, inglise keel
Nõuded kandideerijaleFamiliarity with ROS and neural networks is beneficial in many of the projects.
Tase Bakalaureus, Magister
Märksõnad
Kandideerimise kontakt
Nimi Tambet Matiisen
Tel 5286457
E-mail tambet.matiisen@ut.ee
Vaata lähemalt https://docs.google.com/document/d/1-dhKTRYkoNEqXdkmSbwGvjOJfkuALiCDZ-1-cgHQkrw/edit?usp=sharing


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