Design and development of animated 3D urban environments to generate synthetic datasets for training artificial intelligence models.

Thesis Description & Objectives

The thesis focuses on the design and development of a methodology for creating realistic animated 3D urban environments. The proposed system should enable users to generate topologically consistent urban scenes populated with various types of vehicles (e.g., cars, buses, bicycles, trucks, etc.), as well as pedestrians and animals, both static and dynamic, to achieve a realistic and comprehensive representation of an urban environment. The methodology should also define camera viewpoints consistent with those commonly found in major AI datasets for urban scene understanding. The resulting scene will be used to generate synthetic image datasets for training artificial intelligence models.

Advisors

Federico Manuri

Federico Manuri

Fixed-term Assistant Professor

Proposal Details

PoliTo Thesis ID #16294
PoliTo Thesis Page →
Application Deadline 06/29/2027
Keywords