Alessandro Cirillo
Evaluating face identification and body pose estimation models for intelligent vehicle applications.
Rel. Fabrizio Lamberti, Pandeli Borodani, Federico Boscolo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2024
Abstract
Currently, the emergence of industrial revolution in the future vehicle sector is experiencing rapid growth. In the vehicles of tomorrow, in addition to Automated Driving, importance is also given to advanced technologies that involve many other aspects, such as new biometric solutions to access the vehicle based, e.g., on recognition of the face or the body pose of the vehicle owner. Face and body pose are considered important components for future intelligent vehicle applications, such as determining whether a person is authorized to access and operate the vehicle. The challenge is to build a fast and accurate system able to detect, recognize and verify the driver’s identity with the constraint introduced operating in the wild (operating in an environment external to the vehicle, characterized by largely variable conditions).
This master’s thesis work is part of a larger research, whose aim is to explore the use of face identification models and body pose estimation models for intelligent vehicle applications
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