Image Processing for Self-Driving Cars
Cristina Chicca
Image Processing for Self-Driving Cars.
Rel. Stefano Alberto Malan. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2022
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Abstract
The thesis project is based on the application of basic features involved in the brand new autonomous driving context. The author, as a member of the team PoliTron, has participated to the Bosch Future Mobility Challenge 2022 (BFMC22), a contest in which students from all over the world are asked to program a 1:10 scaled vehicle in order to perform some of the most important tasks for autonomous driving: lane follow and keeping, road and traffic signs recognition, intersection detection, parking, overtake of static and moving cars, GPS-based path planning, object detection including pedestrians, cars both in lane and parking lot, traffic lights.
Specifically, this work focuses on the part relative to Image Processing, meaning all the Python-developed algorithms involved in processing the data coming from the Raspberry Pi camera of the car kit
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