An Integrated Solution Based Irregular Driving Detection



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Éditeur :

Springer


Collection :

Springer Theses

Paru le : 2016-09-07



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Description

This thesis introduces a new integrated algorithm for the detection of lane-level irregular driving. To date, there has been very little improvement in the ability to detect lane level irregular driving styles, mainly due to a lack of high performance positioning techniques and suitable driving pattern recognition algorithms. The algorithm combines data from the Global Positioning System (GPS), Inertial Measurement Unit (IMU) and lane information using advanced filtering methods. The vehicle state within a lane is estimated using a Particle Filter (PF) and an Extended Kalman Filter (EKF). The state information is then used within a novel Fuzzy Inference System (FIS) based algorithm to detect different types of irregular driving. Simulation and field trial results are used to demonstrate the accuracy and reliability of the proposed irregular driving detection method.
Pages
127 pages
Collection
Springer Theses
Parution
2016-09-07
Marque
Springer
EAN papier
9783319449258
EAN PDF
9783319449265

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
4700 Ko
Prix
94,94 €
EAN EPUB
9783319449265

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
3011 Ko
Prix
94,94 €