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An Integrated Solution Based Irregular Driving Detection (Hardcover, 1st ed. 2017) Loot Price: R3,516
Discovery Miles 35 160
An Integrated Solution Based Irregular Driving Detection (Hardcover, 1st ed. 2017): Rui Sun

An Integrated Solution Based Irregular Driving Detection (Hardcover, 1st ed. 2017)

Rui Sun

Series: Springer Theses

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Loot Price R3,516 Discovery Miles 35 160 | Repayment Terms: R330 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses
Release date: September 2016
First published: 2017
Authors: Rui Sun
Dimensions: 235 x 155 x 11mm (L x W x T)
Format: Hardcover
Pages: 127
Edition: 1st ed. 2017
ISBN-13: 978-3-319-44925-8
Categories: Books > Professional & Technical > Civil engineering, surveying & building > Highway & traffic engineering
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 3-319-44925-7
Barcode: 9783319449258

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