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AI-powered driving style estimation and driver mimicking

azienda Tesi esterna in azienda    


Parole chiave INTELLIGENZA ARTIFICIALE, MACHINE LEARNING, VEICOLI A GUIDA AUTONOMA

Riferimenti FABRIZIO LAMBERTI

Gruppi di ricerca DAUIN - GR-09 - GRAphics and INtelligent Systems - GRAINS

Tipo tesi TESI IN AZIENDA

Descrizione The driving style is unique to each person and it affects the vehicle usage. The thesis aims to create an autonomous agent able to mimic the behavior of a specific driver, in order to perform adaptive DSE (Drive Style Estimation). This requires the agent to be able both to react properly to environmental stimuli and to tailor its behavior on the driverís profile. Activities could encompass the use of the both datasets collected on real vehicles, as well as data gathered in simulated environments.

The thesis will be carried out in collaboration with Sensor Reply.

The student will be involved in:
- Vehicle data analysis and data preprocessing;
- Development of an AI-powered autonomous agent;
- Adapt the agent to the specific driver.

Relevant technologies: Deep Learning, Adversarial Learning, Reinforcement Learning, Autonomous Agent, Edge AI, Cloud Computing, Connected Vehicle

Vedi anche  http://grains.polito.it/work.php


Scadenza validita proposta 31/07/2023      PROPONI LA TUA CANDIDATURA




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