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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 7B: Mobile Mapping for Spatial Data Acquisition]
Document type:
Monograph
Structure type:
Chapter

Chapter

Title:
AUTOMATIC MEASUREMENT OF ROAD WIDTHS IN COLOUR STEREO SEQUENCES ACQUIRED BY A MOBILE MAPPING SYSTEM. Krzysztof Gajdamowicz.
Document type:
Monograph
Structure type:
Chapter

Contents

Table of contents

  • 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

AUTOMATIC MEASUREMENT OF ROAD WIDTHS IN COLOUR STEREO SEQUENCES ACQUIRED BY A MOBILE 
MAPPING SYSTEM 
Krzysztof Gajdamowicz 
Inst, of Geodesy and Photogrammetry 
Royal Institute of Technology 
Sweden 
krzygajd@geomatics.kth.se 
Commission II, Working Group 1 
KEY WORDS: road inventory, automatic colour image analysis, colour based segmentation 
ABSTRACT 
In 1995, the Department of Geodesy and Photogrammetry together with the Swedish National Road Administration (SNRA) and the 
Swedish National Board for Industrial and Technical Development (in Swedish: NUTEK) set up a project for the development of 
methods for automatic analysis of the data acquired by Mobile Mapping Systems (MMS). Such methods are planned to be used for fast 
and cost effective data collection for the National Road Data Base (NRDB). 
Colour stereo sequences recorded by MMS are georeferenced and analysed in a post-process to obtain geometric and semantic 
information about roads and objects in their surrounding. This paper presents methods for automatic measurement of road widths from 
colour stereo georeferenced images. It also presents an evaluation of the automatic method for road width measurement in comparison 
with semi-automated. Additionally, this paper discusses the advantages and limitations of the method. Finally, recommendations and 
improvements of the method are presented. 
The automatic measurement of road widths is based on step-wise processing of colour georeferenced stereo sequences. It employs colour 
based segmentation for localisation of the road, image filtering for extraction of road boundaries, image matching for 3D positioning of 
road boundaries and computation of 3D vector between the road boundaries to determine the width of the road. The final results are 
revised and checked for gross errors. If any outliers are found, the measurements are repeated by semi-automatic stereo measurement, 
where for a manually selected point in one stereo image the corresponding point is found by feature based matching in colour space. 
After the matching procedure is completed, the road width is computed in the global co-ordinate frame. 
1 INTRODUCTION 
Inventory of roads and maintenance of the road data is a primary 
task for the Swedish National Road Administration (SNRA). 
Information about the road and road environment needs to be 
acquired and frequently updated. Main attributes in the Road 
Data Bank (RDB) are the nodal points, i.e. road junctions, and 
the distance between them. The position information and the 
attributes of the inventory objects like kerbs, manholes, road 
signs, road widths, etc. are georeferenced using distance from 
road junctions. 
Presently, measurements of the road widths are performed in a 
traditional way using survey tape. Such measurements are time 
consuming and often require interference in a traffic flow. In case 
of very trafficked roads measurement of the road widths requires 
an alternative method. 
One of then! is aerial photogrammetry. Up to now several 
algorithms for automatic road extraction from aerial photographs 
were presented, e.g. Mayer et al. (1998). Unfortunately, these 
methods still require more research and optimisation in order to 
be robust. Moreover, aerial photogrammetry is an expensive 
method that has low repeatability, therefore it is not well suited 
for the purpose of road width measurement. 
The other way to acquire road widths is to use Mobile Mapping 
System (MMS) and digital photogrammetry. MMS like On-Sight 
developed by Transmap Corp. is a system, which integrates GPS, 
INS, odometer and colour digital cameras on a van. Such a 
system allows acquiring stereo georeferenced images of the 
roads while driving with speed up to 80 km/h. Road widths are 
measured in a post-process using georeferenced images and 
stereo photogrammetrical methods. Monotonous image point 
measurement procedure requires automation. Habib (1994) 
described in his thesis an algorithm for automatic extraction and 
matching of the road edges (painted lines) using MMS 
georeferenced images and data association technique. Tao (1996) 
presented an integrated approach to reconstruct centrelines using 
stereo image sequences and MMS trajectory calculated from 
GPS/INS data. Gajdamowicz (1998) presented a semi-automatic 
approach for point and vector measurement and an automatic 
approach for road sign inventory. 
The primary goal of this paper is to present an approach to 
measure road widths automatically. The secondary goal of this 
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