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Adaptive trajectory segmentation met...

Phuyal, Bishnu Prasad.

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Adaptive trajectory segmentation method and its application in in-car navigation system.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Adaptive trajectory segmentation method and its application in in-car navigation system./
Author:	Phuyal, Bishnu Prasad.
Description:	96 p.
Notes:	Adviser: Rongxing Li.
Contained By:	Dissertation Abstracts International61-12B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9999428
ISBN:	0493081135

Adaptive trajectory segmentation method and its application in in-car navigation system.
Phuyal, Bishnu Prasad.

Adaptive trajectory segmentation method and its application in in-car navigation system. - 96 p.

Adviser: Rongxing Li.

Thesis (Ph.D.)--The Ohio State University, 2001.

The main purpose of a navigation system is to determine an appropriate position on a road segment represented in the database. This position is representative of the vehicle's position and is displayed as information to the driver. There are conflicting issues that a navigation system must resolve. A position has to be determined in real time using dead reckoning sensor measurements, GPS position, and the database with accuracy sufficient to guide the driver from the origin to the destination. But inexpensive sensors must be used to reduce the cost of a navigation system. Existing methods such as Kalman filtering and map matching are used to solve this problem but their implementations are not adequate enough. The purpose of this research is to investigate methods and algorithms that can take advantage of the properties of each kind of input data and meet the requirements.

ISBN: 0493081135Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Adaptive trajectory segmentation method and its application in in-car navigation system.
LDR:02927nam 2200301 a 45 001 934946
005 20110509
008 110509s2001 eng d
020 $a 0493081135
035 $a (UnM)AAI9999428
035 $a AAI9999428
040 $a UnM $c UnM
100 1 $a Phuyal, Bishnu Prasad. $3 1258640
245 1 0 $a Adaptive trajectory segmentation method and its application in in-car navigation system.
300 $a 96 p.
500 $a Adviser: Rongxing Li.
500 $a Source: Dissertation Abstracts International, Volume: 61-12, Section: B, page: 6687.
502 $a Thesis (Ph.D.)--The Ohio State University, 2001.
520 $a The main purpose of a navigation system is to determine an appropriate position on a road segment represented in the database. This position is representative of the vehicle's position and is displayed as information to the driver. There are conflicting issues that a navigation system must resolve. A position has to be determined in real time using dead reckoning sensor measurements, GPS position, and the database with accuracy sufficient to guide the driver from the origin to the destination. But inexpensive sensors must be used to reduce the cost of a navigation system. Existing methods such as Kalman filtering and map matching are used to solve this problem but their implementations are not adequate enough. The purpose of this research is to investigate methods and algorithms that can take advantage of the properties of each kind of input data and meet the requirements.
520 $a A new method called adaptive trajectory segmentation (ATS) is implemented to continuously capture and derive vehicle trajectory into data sets of small lengths from dead reckoning measurements, GPS measurements, and the database. The derived data are conveniently used in more comprehensive methods and algorithms to determine a number of different dead reckoning sensor parameter. The same data is also used in simple and flexible methods of map matching for accurately determining segment position and correcting the dead reckoned position and heading. This process is done in such a way that the dead reckoned position and heading can be made to conform with the geometry of the segments. Methods are also used to first determine the quality of GPS data before using them to determine the dead reckoning sensor parameter and to correct the vehicle position when driven off-road. These methods and algorithms are tested using data collected from a number of test drives. The results show that the segment positions can be determined with an accuracy of 15 meters or better anywhere without continuous GPS availability.
590 $a School code: 0168.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Geotechnology. $3 1018558
650 4 $a Transportation. $3 555912
690 $a 0428
690 $a 0544
690 $a 0709
710 2 0 $a The Ohio State University. $3 718944
773 0 $t Dissertation Abstracts International $g 61-12B.
790 $a 0168
790 1 0 $a Li, Rongxing, $e advisor
791 $a Ph.D.
792 $a 2001
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9999428