Alessandro Mauro Danusso
Aggressive driving detection through Iterative DB-SCAN labeling and supervised pattern recognition.
Rel. Angelo Bonfitto. Politecnico di Torino, Master of science program in Automotive Engineering, 2022
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Preview |
Abstract
Detection of driver aggressiveness is a significant method which helps to ensure safe driving. Aggressive driving behavior is the cause every year of a vast number of traffic accidents. These traffic accidents which result from this type of conduct are cause of mortality, severe damage and high economical cost. The goal of this thesis is to design an algorithm for aggressive driving detection, capable of recognizing the driver’s behavior. The proposed method is based on sensor features to characterize related driving sessions and to decide whether the session involves aggressive driving behavior. Driving simulators are being increasingly used in recent years by automotive manufacturers and researchers.
There are several advantages with using this system, including the increased safety enhanced repeatability, helping researchers significantly reduce time and cost
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
URI
![]() |
Modify record (reserved for operators) |
