Pierluigi Olleja
Assessment of AEB algorithms and relevance of datasets used for AEB assessment.
Rel. Andrea Tonoli. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2020
|
Preview |
PDF (Tesi_di_laurea)
- Tesi
Licenza: Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Preview |
Abstract
Road fatalities are a major concern in modern society. The increase in the amount of road vehicles on public roads exposes more people to the dangers that come with road traffic. On highways, higher speeds are the cause of more serious crashes. To tackle this issue, active safety systems work in cooperation with passive safety systems to improve the occupants’ safety. In the assessment of new active safety systems, the availability of crashes for computer simulation is limited. This work is therefore aimed first at using lead-vehicle-braking events from the highD naturalistic driving dataset as a basis for creating “what-if” crashes.
These crashes were compared with real crashes from an in-depth crash database (GIDAS) and an AEB algorithm was assessed on both the datasets
Relatori
Anno Accademico
Tipo di pubblicazione
Numero di pagine
Corso di laurea
Classe di laurea
Ente in cotutela
Aziende collaboratrici
URI
![]() |
Modifica (riservato agli operatori) |
