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Proceedings International Workshop on Mobile Mapping Technology

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fullscreen: Proceedings International Workshop on Mobile Mapping Technology

Monograph

Persistent identifier:: 856671290

Author:: Li, Rongxing

Title:: Proceedings International Workshop on Mobile Mapping Technology

Sub title:: April 21 - 23, 1999, Bangkok, Thailand

Scope:: 1 Online-Ressource (Getr. Zählung [ca. 400 Seiten])

Year of publication:: 1999

Place of publication:: London

Publisher of the original:: RICS Books

Identifier (digital):: 856671290

Illustration:: Illustrationen, Diagramme, Karten

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: [Session 1: Mobile Mapping (1)]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: INTEGRATING TECHNOLOGIES: DGPS, DEAD RECKONING AND MAP MATCHING. T. A. Hailes.

Document type:: Monograph

Structure type:: Chapter

Proceedings International Workshop on Mobile Mapping Technology
Cover
ColorChart
Title page
Title page
Proceedings of International Workshop on Mobile Mapping Technology April 21-23, 1999, Maruay Garden Hotel, Bangkok, Thailand
Greeting from Bangkok.
PREFACE.
On behalf of the International Association of Geodesy (IAG) Working Group [...]
TECHNICAL PROGRAM.
[Session 1: Mobile Mapping (1)]
A ROBUST METHOD FOR REGISTERING 2.5D LASER RANGE IMAGES OF URBAN OBJECTS. Huijing ZHAO, Ryosuke SHIBASAKI.
AN INTELLIGENT MOBILE MAPPING SYSTEM. Naser El-Sheimy, Mike Chapman, and C. Tao.
A Mobile Mapping System Based on GPS, GIS and Multi-sensor. Deren Li.
AIRPORT DATA BASIS FOR TAGSY GUIDANCE SYSTEMS. W. Möhlenbrink, R. Bettermann.
INTEGRATING TECHNOLOGIES: DGPS, DEAD RECKONING AND MAP MATCHING. T. A. Hailes.
[Session 2: Mobile Mapping (2)]
FILTERALGORITHMS FOR OPTIMAL DETERMINATION OF POSITION AND ATTITUDE OF THE MOBILE MAPPING SYSTEM KISS. H. Sternberg, W. Caspary and H. Heister.
DEVELOPMENT OF AN INTEGRATED SYSTEM FOR MAPPING ROAD WIDTH USING DIGITAL VIDEO AND GLOBAL POSITIONING SYSTEM. Shanmugam Ganeshkumar, Kiyoshi HONDA, Shunji MURAI.
DIRECT PLATFORM ORIENTATION IN AERIAL AND LAND-BASED MAPPING PRACTICE. Dorota A. Grejner-Brzezinska, Charles K. Toth and Edward Oshel.
TOWARDS AUTOMATED PROCESSING OF MOBILE MAPPING IMAGE SEQUENCES. C. Tao, M. A. Chapman, and N. El-Sheimy, B. Chaplin.
[Poster Session (1) on Airborne & Spaceborne Remote Sensing (JARS)]
Generation of Digital Elevation Model derived from JERS1 SAR Interferometry. Mitsuharu TOKUNAGA.
GENERALIZATION TECHNIQUES FOR LAYERED NEURAL NETWORKS IN THE CLASSIFICATION OF REMOTELY SENSED IMAGES. Eihan SHIMIZU and Morito TSUTSUMI, Le Van TRUNG.
THE CRANES' NESTING ANALYSIS USING GIS - LANDSCAPE ECOLOGICAL APPLICATIONS -. Koichi HIRATA, Hiroshi MURAKAMI.
INTERPRETABILITY OF GEOGRAPHIC INFORMATION FROM HIGH RESOLUTION SATELLITE IMAGES. Toshiaki Hashimoto.
Reassessment of Todaro's Migration Model to Incorporate Socioeconomic and Natural Resource Environment by Using Remote Sensing and GIS: A Case of Thailand. Bhuwneshwar Prasad SAH, Eihan SHIMIZU and Morito TSUTSUMI.
LAND COVER OF ASIA. Ryutaro Tateishi.
Development of Drain Direction Model based onGTOPO30 and Global Data Sets. Shiro Ochi and Ryosuke Shibasaki.
[Session 3: Kinematic Real-time Positioning]
Positioning Principles and Accuracy of Airborne Laser- Ranging & Multispectral-lmaging Mapping System. Liu Shaochuang, You Hongjian, Xiang Maosheng, Liu Tong, Li Shukai.
Accuracy Assessment and Improvement for Level Survey using Real Time Kinematic (RTK) GPS. Dinesh Manandhar, Kiyoshi Honda, Shunji Murai, Sachio Kubo, Masahiro Yonemura.
Airborne Mapping System with GPS-supported Aerotriangulation. Deren Li, Xiuxiao Yuan.
[Session 4: Sensor Integration and Calibration]
The Calibration of Imaging Sensors Integrated into a Rapid Route Mapping System. C. S. Fraser, A. M. Judd.
CALIBRATING A ZOOM LENS CCD CAMERA FOR A TERRESTRIAL IMAGE BASED SURVEY SYSTEM. Y. D. Huang and D. Chen.
METHOD FOR ACCURATE CAMERA ORIENTATION FOR AUTOMOBILE PHOTOGRAMMETRIC SYSTEM. V. A. Knyaz, S. Yu. Zheltov.
MULTI-SENSOR MAP MATCHING CONCEPTS FOR POSITIONING OF ROAD AND RAIL VEHICLES. R. Czommer, W. Möhlenbrink.
SENSOR INTEGRATION AND CALIBRATION OF DIGITAL AIRBORNE THREE-LINE CAMERA SYSTEMS. Michael Cramer, Dirk Stallmann and Norbert Haala.
[Session 5A: Applications (1)]
Application of Photogrammetric Image Data for Roadway Construction. Guangping He.
SURVEYING AND MAPPING OF URBAN STREETS BY PHOTOGRAMMETRIC TRAVERSE. A. R. SILVA, J. C. BATISTA, R. A. OLIVEIRA, P. O. CAMARGO and J. F. C. SILVA.
[Session 5B: Real-time Imaging (ARIDA)]
ESTIMATION OF ACCURACY OF AIRBORNE LASER PROFILING. Koukichi Kimura, Teruvoshi Fujiwara, Yukihide Akiyama.
CRACK SITUATION GRASP OF DIGITAL IMAGE METHOD. Tatuhide NAKANE, Hisasi TAKAGI, Masaharu OZAWA.
Mobile Mapping Technologies for Safety Driving Assistance in ITS. Yutaka Shimogaki, Tooru Kitagawa, Yoshiki Yamano, Katunori Takahashi.
[Session 6A: Applications (2)]
Virtual Reality Model Created from Mobile Mapping Data as Interface to GIS. Krzysztof Gajdamowicz.
IMPROVED DEM EXTRACTION TECHNIQUES - COMBINING LIDAR DATA WITH DIRECT DIGITAL GPS/INS ORIENTED IMAGERY. Charles K. Toth and Dorota A. Grejner-Brzezinska.
Focal Plane Image Assembly of Subpixel. Si-Dong Zhong, Tian chan Mei.
[Session 6B: Real-time Imaging (ARIDA)]
A Tracking System for Construction vehicles with DGPS and RTK-GPS. Shun'ichi OHTSU, Tomonori TAKADA, Tatsunori SADA.
A METHOD OF ROAD REPRESENTATION IN 3D MAPPING TECHNOLOGY. Tsukasa Hosomura.
Fundamental Study on Ground-Based Sensor Integration for Spatial Data Acquisition. Mitsunori YOSHIMURA, Tetsuji ANAI, Hirofumi CHIKATSU, Ryosuke SHIBASAKI.
Fundamental Study on Development and Application of the Local Positioning System using Accelerometer and Gyroscope. Toshio KOIZUMI, Yasuyuki SHIRAI, Atsuro TAKEMOTO.
[Poster Session (2) on Imaging Sensing (ARIDA)]
THE METHOD OF Field INVESTIGATIONS USING DIGITAL IMAGE. Toshiaki Taguchi, Kosuke Tsuru, Hirofumi Chikatsu.
PERFORMANCE OF ARTIFICIAL RETINA CAMERA AND ITS APPLICATION. Yoichi KUNII, Hirofumi CHIKATSU.
MOTION ANALYSIS ON THE CONSTRUCTION PLANT USING SEQUENTIAL IMAGES. Sosuke YOSHIDA, Hirofumi CHIKATSU.
AUTO-TRACKING AND 3D MEASUREMENT FOR MOVING OBJECT USING VIDEO THEODOLITE. Tsutomu KAKIUCHI, Hirofumi CHIKATSU.
Generation of 3D View Map Using by Raster Base Data Processing. Kunihiko Ono, Shunji Murai, Vivarad Phonekeo and Shigetaka Yasue.
REMAPPING OF HISTORICAL MAPS USING MATHEMATICAL MORPHOLOGY AND ITS APPLICATION. Nobuhiro YAMADA, Hirofumi CHIKATSU.
A Comparative Study on Techniques for Optical Flow Estimation : On the Application to Vehicle Motion Analysis. Takashi FUSE and Eihan SHIMIZU.
Dynamic Analysis of Human Motion using Digital Video Camera mounted on Video Theodolite. Tetsuji ANAI, Hirofumi CHIKATSU.
A New Measurement System of Settlement At Airports Using GPS and Laser Level. Bunji Shigematsu.
[Session 7A: Automatic Object Extraction and Recognition]
INTEGRATION OF FEATURE AND SIGNAL MATCHING FOR OBJECT SURFACE EXTRACTION. Pakom Apaphant, James Bethel.
FEATURE EXTRACTION FROM MOBILE MAPPING IMAGERY SEQUENCES USING GEOMETRIC CONSTRAINTS. Fei Ma and Ron Li.
A MULTILAYER HOPFIELD NEURAL NETWORK FOR 3-D OBJECT RECOGNITION. Zhuowen Tu and Ron Li.
DATABASE GUIDED VERIFICATION AND UPDATING OF TRANSPORTATION OBJECTS WITH VERTICAL LINE FEATURES FROM MOBILE MAPPING IMAGE SEQUENCES. C. Tao.
Traffic Sign Detection from Image Sequences. W. B. Tong, J. Y. Hervé, P. Cohen.
ROBUSTNESS TEST TO OBJECT POSITIONING IN PROJECTIVE SPACE. Xingwen Wang, Deren Li.
[Session 7B: Mobile Mapping for Spatial Data Acquisition]
AUTOMATIC MEASUREMENT OF ROAD WIDTHS IN COLOUR STEREO SEQUENCES ACQUIRED BY A MOBILE MAPPING SYSTEM. Krzysztof Gajdamowicz.
Wearable Computing, Wireless Communication & Knowledge Discovery for Mobile Data Acquisition & Analysis. Klaus Brinkkötter-Runde and Ubbo Visser.
Development of a Low-Cost DGPS/DR System for Vehicle Tracking. Xiufeng He, Thor I. Fossen and Yongqi Chen.
OFF Method and Its Practice on Airborne GPS Data Processing for Photogrammetry. Chen Xiaoming, Liu Jiyu, Li Deren.
List of Registered Participants
Cover

Full text

1-5-1
INTEGRATING TECHNOLOGIES: DGPS, DEAD RECKONING AND MAP MATCHING
T.A. Hailes
Department of Land Information
RMIT University
Australia
tim.hailes@rmit.edu.au
KEY WORDS: GPS, DGPS, Dead Reckoning, Map Matching, Integrated Positioning, Kalman Filtering, Train Positioning, Vehicle
Positioning.
ABSTRACT
Many disciplines rely on dispatch or control units having knowledge of the position and trajectory of their vehicles. The Global
Positioning System (GPS) has proven to be a powerful tool for providing position estimates in real-time. However, GPS is unable to
provide position estimates when satellite signals are obstructed. Therefore, continuous positioning requires other technologies to be
integrated with GPS. Dead reckoning devices, which provide a heading and velocity measurements can be used to estimate subsequent
positions relative to a last well-determined position. Whilst dead reckoning devices are prone to drifts and biases, the integration of these
devices with GPS removes many of the inadequacies within a dead reckoning system. In addition, the utilisation of existing road/track
positional information provides an additional measurement or constraint. This technique, known as “map matching” enhances positional
accuracy and integrity.
This paper describes differential GPS (DGPS) positioning, dead reckoning and map matching, and presents a technique using Kalman
filtering to integrate the DGPS and dead reckoning measurements. The use of multiple hypothesis algorithms and statistical tests utilised
in the map matching module are then presented. Two field tests are performed on a section of railway track approximately 50 km west of
Brisbane, Australia. The first test provides the coordinates of the track for map matching purposes and the second captures the DGPS and
dead reckoning data for analysis. The results of the second test are statistically analysed to determine the effectiveness of integrated
DGPS, dead reckoning and map matching positioning. Based on the tests, the integrated system provides discrimination between
multiple parallel tracks spaced 3.5 m apart after 15 s of travel, at a 99.999% probability.
KURZFASSUNG
Viele Disziplinen verlassen sich auf Sender und Kontrolleure, die das Wissen der Positionen und Flugbahnen ihren Fahrzeuge haben.
Das Globale Positioning System (GPS) hat beweisen, ein wirksames Werkzeug zu sein, um vorausgesetzte Positionsschätzungen in
realer Zeit bereitzustellen. Aber, GPS ist unfähig diese Positionen zu liefern, wenn die Satellitensignale blockiert werden. Es werden
zusätzliche Technologien gebraucht die mit den GPS Positionen integriert werden. “Dead reckoning”-Geräte, die die Richtungs- und
Geschwindigkeits-messungen liefern, können für die nachfolgenden Positionsschätzungen benutzt werden, relativ zu der letzten
Positionsbestimmung. Es ist bekannt das “dead reckoning”-Geräte anfällig sind und Systematische Fehler haben, aber trotzdem durch die
Integration von diesen Geräten mit GPS entfernen sie viele Unzulänglichkeiten innerhalb eines “dead reckoning”-Systems. Außerdem,
durch die Nutzbarmachung von bestehenden Straßen- und Gleispositionen liefert dieses eine zusätzliche Informationseinheit. Diese
Technik ist bekannt als “map matching” und verbessert die Positionsgenauigkeit und Integrität.
Dieses Papier beschreibt Differential GPS (DGPS) positioning, “dead reckoning” and “map matching” Systeme und präsentiert eine
Technik die den Kalman Filter benutzt, um die DGPS und “dead reckoning” Messungen zu integrieren. Der Gebrauch von verschiedenen
Hypothesen Algorithmen und statistische Prüfungen werden benutzt, um “dead reckoning” Daten zu integrieren und zu präsentieren.
Zwei Feldprüfungen wurden auf einem Teil der Eisenbahngleisen ungefähr 50 km Westlich von Brisbane, Australia ausgeführt. Die erste
Prüfung liefert die Koordinaten von den Gleisen für das “map matching” system und die zweite sammelt die DGPS und “dead
reckoning” Daten für die Analyse. Die Ergebnisse von der zweiten Prüfung wurden statistisch Analysiert, um die Effektivität von den
integrierten DGPS, “dead reckoning” und “map matching” Daten zu bestimmen. Basierend auf den Prüfungen, das integrierte System
zeichnet Unterschiede zwischen mehreren parallelen Gleisen auf, die 3,5 m auseinander lagen, nach 15 s der Fahrt mit einer 99,999%
Wahrscheinlichkeitsrate.

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