First image
Previous image

Next image
Last image
Show double pages

Use the mouse to select the image area you want to share.

Please select which information should be copied to the clipboard by clicking on the link:

Link to the viewer page with highlighted frame
Link to IIIF image fragment

Proceedings International Workshop on Mobile Mapping Technology

Access restriction

There is no access restriction for this record.

Copyright

CC BY: Attribution 4.0 International. You can find more information here.

Search in

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:: CRACK SITUATION GRASP OF DIGITAL IMAGE METHOD. Tatuhide NAKANE, Hisasi TAKAGI, Masaharu OZAWA.

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

5B-2-1
CRACK SITUATION GRASP OF DIGITAL IMAGE METHOD
Tatuhide NAKANE, Hisasi TAKAGI, Masaharu OZAWA
Kokusai Kogyo Co., LTD.
JAPAN
mo31208@kkc.co.jp
KEY WORDS: Crack, Laser, Optical detection sensor
ABSTRACT
Among a variety of damage phenomena that the pavement road shows, the crack of the road is the most remarkable. The influence that
the crack exerts on the durability of the pavement road is extremely large. It is necessary to understand the damage situation of the crack
in the maintenance control of the pavement road.
The device that records the road image to understand the damage situation of the crack is developed. The record device is divided into an
analog method and a digital method. Both can be installed in the vehicle and the road image is recorded at a speed of 80km per hour. A
digital method scans the state of the road with a laser spot and an optical detection sensor. The laser spot rotates in the direction where
the road is crossed at high speed and catches the change in an individual point in the reflection light amount with the optical detection
sensor. Information caught with the optical detection sensor is recorded in the W-VHS videotape. When there is no crack in the road and
the road is excellent, the reflection light amount increases and is recorded as information on a bright point. The crack exists in the road,
and when the laser spot scans the crack, the reflection light amount decreases and is recorded as information on a dark point. The crack is
recorded as if the shadow and can confirm the existence of the crack as a result.
1 INTRODUCTION
In the road extension of Japan, there are about 1,150,000km and
75% is a pavement road (1998). Cost by which the road is
maintaining controlled increases every year as the road extension
increases. It is necessary to distribute the limited maintenance
budget efficiently so that the country and the municipality may
offer a safe, pleasant road service. Therefore, it is important that
the road manager understands the damage situation on the surface
of the pavement road to do an effective investment and reflect the
result in the road mending.
2 GRASP OF PAVEMENT DAMAGE
The damage situation of the road is expressed by the crack, the rut,
and roughness in Japan. To evaluate the use of the pavement
quantitatively, Ministry of Construction developed maintenance
control index (MCI) as an integrated evaluation value of three
elements. Especially, the influence of the crack on the durability
of the pavement road is extremely large. The road manager is
confirming the crack situation by various means. 20 years or more
ago was only a method of confirming the existence of the crack by
eyes. This method takes time to understand the damage situation
of a wide-ranging road and needs a large labor. Moreover, it is
dangerous to confirm the crack on the crowded road. It is general
to use the automatic measurement vehicle where a special record
device was installed when the pavement damage of a wide-
ranging road is understood now. As a result, a prompt,
economical, safe pavement damage can be understood.
3 AUTOMATIC MEASUREMENT DEVICE
There are about 10 vehicles to investigate the damage situation of
the pavement road in Japan. The system that automatically
investigates the damage situation is installed in the vehicle. The
item which this vehicle investigates is a crack, a rut, and
roughness. The car equipped with the investigation system can
run about 80km or less and acquire the damage situation of the
road. Naturally, there is a big difference at the speed of the
investigation when it is compared to execute the investigation as
man walks and to execute the investigation by using the car. Most
cars (system) cannot investigate in daytime and are executing the
investigation at nighttime because the measurement technique is
influenced by the sunlight. All cars are used to investigate an
expressway and a general road.
Figure 1- Road Damage Investigation Car

Cite and reuse

Here you will find download options and citation links to the record and current image.

Monograph

METS MARC XML Dublin Core RIS Mirador ALTO TEI Full text PDF DFG-Viewer OPAC

TOC

Chapter

PDF RIS

Image

PDF ALTO TEI Full text

Preview 111×150 jpg

Small 760×1024 jpg

Medium 1520×2048 jpg

Master 3983×5367 MASTER

Download

Image fragment

Link to the viewer page with highlighted frame Link to IIIF image fragment

Citation links

Monograph

To quote this record the following variants are available:

Here you can copy a Goobi viewer own URL:

Chapter

To quote this structural element, the following variants are available:

Here you can copy a Goobi viewer own URL:

Image

To quote this image the following variants are available:

Here you can copy a Goobi viewer own URL:

Citation recommendation

li, rongxing. Proceedings International Workshop on Mobile Mapping Technology. RICS Books, 1999.

Please check the citation before using it.

Image manipulation tools

Tools not available

Share image region

Use the mouse to select the image area you want to share.

Please select which information should be copied to the clipboard by clicking on the link:

Link to the viewer page with highlighted frame
Link to IIIF image fragment

Contact

Have you found an error? Do you have any suggestions for making our service even better or any other questions about this page? Please write to us and we'll make sure we get back to you.

Name: (Required)

Last name:

E-mail: (Required)

Message: (Required)

Security question:

How much is one plus two?:

I hereby confirm the use of my personal data within the context of the enquiry made.

Accept:

No Yes