Systems for data processing, anaylsis and representation

Allam, Mosaad; Plunkett, Gordon

Bibliographic data

Monograph

Persistent identifier:: 1067490280

Title:: Systems for data processing, anaylsis and representation

Sub title:: ISPRS Commission II Symposium : June 6 - 10, Ottawa, Canada

Scope:: 1 Online-Ressource (XX, 530 Seiten)

Year of publication:: 1994

Place of publication:: Ottawa

Publisher of the original:: The Surveys, Mapping and Remote Sensing, Natural Resources Canada

Identifier (digital):: 1067490280

Illustration:: Illustrationen

Signature of the source:: ZS 312(30,2)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

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

Editor:: Allam, Mosaad; Plunkett, Gordon

Corporations:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Adapter:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Founder of work:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Other corporate:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: [Friday, June 10, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session L-1 WG II/1 - Real-Time Mapping Technologies - Algorithmic Aspects]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: The Accuracy of Features Positioned with the GPSVan Guangping He, Kurt Novak, Wei Tang

Document type:: Monograph

Structure type:: Chapter

The Accuracy of Features Positioned with the GPSVan Guangping Hel, Kurt Novak? , Wei Tang? lCenter for Mapping, The Ohio State University 1216 Kinnear Rd, Columbus, OH-43212, USA “Department of Geodetic Science and Surveying , The Ohio State University 1958 Neil Avenue, Columbus, OH-43202, USA Abstract Data capture is the most expensive part of establishing a Geographic Information System (GIS). A Mobile Mapping System the <GPSVan>, integrating a stereo vision system, Global Positioning System (GPS) and Inertial System, has been developed to quickly and accurately collect data. The vision system takes stereo images, while the GPS and inertial systems provide the position and rotation of the vehicle. Any object which appears on an image pair can be located in a global coordinate system. In this paper, we present the mathematical model of camera calibration, the correction of the offsets between different components, as well as the analysis of the positioning accuracy of the GPSVan. KEY WORDS: Accuracy analysis, Camera calibration, Data capture, System integration, GPS. 1. Introduction The creation of a geographic information system (GIS) requires an enormous amount of digital information. To date, most land-related databases still rely on existing line maps which are manually digitized. In order to collect digital data faster and more accurately, a mobile mapping system <GPSVan> was developed at The Center for Mapping of the Ohio State University (Bossler, 1991). This system consists of three major components: * the control module * the positioning module * the image module Control Module A PC-compatible computer controls the data collection module through a real-time, multi- tasking operating system. During field operation, a color-touch screen displays the sensor status. The touch screen is also used to note and record attribute information on objects such as bridges and street signs. Positioning Module A Navstar Global Positioning System (GPS) receiver determines the global location of the GPSVan. For standard road mapping applications, 480 the GPSVan uses single-frequency GPS receivers in differential mode. Depending on the type of GPS receiver and the operational techniques used, position accuracy can range from three meters to one centimeter. Because obstructions such as bridges, trees, tunnels or high-rise buildings can interrupt satellite signals, a dead reckoning (DR) system supplements the GPS receiver by recording the distance traveled and the direction of the GPSVan. The DR system consists of a vertical and directional gyroscope and wheel counters and accurately maps the position of the GPSVan in the absence of satellite positions for distances longer than a mile. In addition, it provides the rotation angles of the GPSVan. Image Module The image module consists of a stereo vision system, Super VHS color video cameras, and a data collection software package. The stereo vision system consists of two, fully digital, high resolution CCD cameras (Kodak DCS) with a sensor of 1280x1024 pixels. It acquires image pairs covering the road environment in front or in back of the GPSVan. The stereo vision system is an accurate tool for positioning objects in three-dimensional space. By applying photogrammetric triangulation techniques, any point th reconstru The prer system paramete the relati pair, as stereo vis Image p: mobile m Through the posit coordinat from the the uniq following * Ca al KIN g Fast, acc major pur the follov GPSVan accuracy 2. The calit camera ( rotation calibration which in different control px image coc to obtait orientatio using cons 2.1 Cam: The calibr bundle a parameter calculated the colline are define point (xp, distortion radial dist and two distortion |

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