Route planner data for end-to-end driving dataset
Organisatsiooni nimi
Autonomous Driving Lab
Kokkuvõte
End-to-end driving models using just camera input can only do lane following, because they are missing the additional information whether they should turn left or right on the intersection. One way to overcome this limitation is to provide navigational instructions as an input to the end-to-end driving network. These can be represented as navigational commands (e.g. “Turn right after 200 meters”) or route planner screenshots. The task in this project is to add navigational instructions to the end-to-end driving datasets.
The project consists of:
1. Implementing rendering of route planner screenshots using some navigational API, e.g. Mapbox.
2. Collecting sensor data together with navigational instructions, i.e. navigational 3. commands and route planner screenshots.
3. Postprocessing and cleaning the dataset.
4. Training baseline end-to-end driving model conditioned on navigational instructions.
The project consists of:
1. Implementing rendering of route planner screenshots using some navigational API, e.g. Mapbox.
2. Collecting sensor data together with navigational instructions, i.e. navigational 3. commands and route planner screenshots.
3. Postprocessing and cleaning the dataset.
4. Training baseline end-to-end driving model conditioned on navigational instructions.
Lõputöö kaitsmise aasta
2020-2021
Juhendaja
Tambet Matiisen
Suhtlemiskeel(ed)
eesti keel, inglise keel
Nõuded kandideerijale
Tase
Magister
Märksõnad
Kandideerimise kontakt
Nimi
Tambet Matiisen
Tel
5286457
E-mail