| KEYWORD |
Autonomous agent for driver mimicking
Thesis in external company
Reference persons VALENTINA GATTESCHI, FABRIZIO LAMBERTI
Research Groups GR-09 - GRAphics and INtelligent Systems - GRAINS
Thesis type THESIS WITH A COMPANY
Description 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 driver’s profile. Activities could encompass the use of the both datasets collected on real vehicles, as well as data gathered in simulated environments (e.g., in immersive Virtual Reality).
The thesis will be carried out in collaboration with Concept Reply.
The student will be involved in:
- Modelling a realistic driving simulation;
- 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
Start Availability Date - End Availability Date: 04-08-2021 - 31-03-2022 (temporal window of availability of the thesis for potential candidates)
See also http://grains.polito.it/work.php
Deadline 31/03/2022
PROPONI LA TUA CANDIDATURA