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Proceedings International Workshop on Mobile Mapping Technology

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Bibliographic data

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 5B: Real-time Imaging (ARIDA)]
Document type:
Monograph
Structure type:
Chapter

Chapter

Title:
Mobile Mapping Technologies for Safety Driving Assistance in ITS. Yutaka Shimogaki, Tooru Kitagawa, Yoshiki Yamano, Katunori Takahashi.
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

«fiOki 
5B-3-1 
Mobile Mapping Technologies for Safety Driving Assistance in ITS 
Yutaka Shimogaki, Tooru Kitagawa, Yoshiki Yamano, Katunori Takahashi 
AAS Research Institute, Asia Air Survey Co., Ltd. 
8-10, Tamura-cho, Atsugi-shi, Kanagawa-ken, 243-0016, JAPAN 
E-mail: ys.shimogaki@ari.ajiko.co.jp 
KEYWORDS: Mobile Mapping System, INS/DGPS integration, ITS, Safety Driving Assistance 
ABSTRACT 
This paper presents mobile mapping technologies to support effectively Safety Driving Assistance in 
the Intelligent Transport Systems (ITS), that acquires the road-related spatial data in advance and 
combines them with the equipment mounted on the car while running. The mobile mapping system 
(MMS) developed by Asia Air Survey co., ltd. consists of a measurement vehicle and a data processing 
unit. The measurement vehicle equipped with.a strapdown Inertial Navigation System (INS), a 
differential GPS receiver, an odometer (wheel sensor), two pairs of cameras and an industrial PC 
collects position, attitude data and a sequence of terrestrial digital images while driving at regular 
speeds. The data processing unit extracts the road infrastructure data from the collected data 
through image processing and close-range photogrammetry. A series of field tests have been 
conducted to verify the feasibility of the MMS under different conditions. The accuracy of the 
Hybrid Inertial Surveying System (HISS) which is the core unit of the measurement vehicle was less 
than several meters in 3D position and less than 0.02 degrees in 3D attitude in urban areas where 
GPS signals are blocked by tall buildings intermittently. It was verified that the system could 
measure road alignment information such as the gradient and the radius of curvature even in the 
tunnel because the INS is tightly integrated with the GPS or the odometer. In this paper, after 
introducing briefly the trend on ITS in Japan, an overview of the MMS and the Kalman filter model 
in the HISS is described. Field tests and the results are also discussed. Finally, the role of MMS in 
ITS is emphasized. 
1. INTRODUCTION 
In the coming new generation, the Japanese 
government issued the Comprehensive Plan for 
the Promotion of Intelligent Transport System 
(ITS) aimed at solving safety, efficiency, and 
comfort in connection with road transportation 
by using advanced information technology. 
Among ITS projects, AHS (Automated Highway 
System) is technically the most difficult 
program. This project is supported by the 
communications between the road and the 
vehicle. Namely by providing road-related 
information from the road infrastructure to the 
telecommunication equipment mounted on the 
car, it gives a warning of danger to a driver and 
performs automated driving finally. One of 
them is the road alignment information. 
The road alignment information is available 
from the design plan at that time if the road 
has not been improved. As a practical matter, 
the condition of road changes by the repeated 
maintenance work. Accordingly, to get the 
information from the map is required. But, in 
case of a topographical map with a scale of 
1:25000, which is renewed most frequently, the 
period to change is 5 years in urban area. 
Therefore on the newly constructed or 
improved road, it is impossible to get up-to-date 
information from the map. 
In order to solve this problem, we present the 
mobile mapping system (MMS) to acquire the 
road alignment information efficiently by 
traveling the vehicle with the various sensors. 
The Inertial Navigation System (INS), which is 
usually used in the aerospace industry, outputs 
3D attitudes of the body with respect to local 
level coordinate system. When it is equipped 
with the land vehicle, it provides the road 
gradient from roll angle, the radius of 
curvature from heading angle. And also, on 
account of high rate, the continuous road 
profile can be acquired at intervals of several 
ten centimeters. Nevertheless, the INS has the
	        

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