Sara Luciani
Control design for comfort optimization in assisted and autonomous driving.
Rel. Andrea Tonoli, Angelo Bonfitto, Nicola Amati. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2019
Abstract
In the last years, the development of Advanced Driver Assistance Systems (ADAS) and self-driving vehicles is one of the most important and popular automotive topic. Vehicle automation is changing the experience of driving. It is predicted to have a beneficial impact on many aspects of driving, such as traffic flow, comfort, allocation of time resources, and safety. Since safety has special relevance, many studies in the field of automated driving to date have focused on it. Little focus has so far been placed on the aspect of comfort in autonomous vehicles. However, this aspect seems crucial to investigate because uncomfortable implementations will have a negative influence on the driver and passengers feeling.
This thesis is focused on the control design for comfort optimization in assisted and autonomous vehicles
Relators
Academic year
Publication type
Number of Pages
Additional Information
Course of studies
Classe di laurea
URI
![]() |
Modify record (reserved for operators) |
