MOBILE MAPPING FOR 3D GIS DATA ACQUISITION
R. Li, M. A. Chapman, L. Qian, Y. Xin and C. Tao
Department of Geomatics Engineering, The University of Calgary
2500 University Drive, N.W., Calgary, Alberta, Canada T2N 1N4
Telephone: (403) 220-4112, Fax: (403) 284-1980
Email: rligacs.ucalgary.ca, WWW: http//loihi.ensu.ucalgary.ca/
ISPRS Com. II, WG/1 Invited Paper
KEY WORDS: Mobile mapping, GPS/INS integration, Digital photogrammetry, GIS
ABSTRACT:
This paper presents technologies of mobile mapping for acquiring of large scale three dimensional GIS data based on the results
of a cooperative research conducted at the Department of Geomatics Engineering, the University of Calgary and supported by
Geofit Inc. and Natural Sciences and Engineering Research Council of Canada (NSERC). The mapping platform is a vehicle
equipped with GPS, INS, CCD cameras and a computer system. With GPS providing positional data and INS providing
orientational data, the acquired images are accurately geo-referenced. Large scale, three dimensional spatial databases can be
constructed by extracting geometric and attribute information from these images.
The developed prototype system combines the technologies of integrated GPS/INS, digital imaging, close-range photogrammetry,
advanced computer graphics and object-oriented database management technologies. It is expected to have a variety of
applications including highway mapping, city planning, automatic vehicle navigation, utility mapping, etc.
1. INTRODUCTION
Due to the large volume of spatial data involved in GIS
databases, automation of data acquisition is a very important
issue in terms of time, budget and feasibility. This is
especially true when 3D GIS data acquisition is concerned,
where field survey is usually carried out because map
digitizing is often insufficient. Spatial data collection has been
not efficient until Global Positioning System (GPS) technology
has been applied. GPS provides a unified reference frame for
databases. However, GPS surveying gives object positions on
a point to point basis. To obtain 3D coordinates of an object,
this direct measuring method requires that a GPS receiver is
mounted on the point. Obviously this is not an efficient and
feasible way of acquiring large volume 3D databases. An
indirect method of data acquisition using GPS is to use GPS to
control cameras and then to obtain 3D coordinates through
controlled or geo-referenced images.
The technique described in this paper is an indirect
measurement method that combines an Inertial Navigation
System (INS) with GPS receivers. INS can provide highly
accurate absolute orientation data. These two systems work in
a complimentary way. With sophisticated data processing,
both positional and orientational data can be obtained with a
high accuracy. Using such a configuration, the navigational
information of the cameras is constantly updated while the
vehicle is in motion. The images taken are, therefore,
associated with geo-referencing data. By applying digital
photogrammetry, any objects appearing in multiple images can
be extracted with a reasonable 3D accuracy.
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Recent developments of the system including optimal
acquisition of 3D object coordinates, automation of feature
extraction, object-oriented modeling, distributed computing
architecture and animation of extracted 3D data are also
discussed. Some results are given in the end of the paper.
Figure 1: Configuration of the mobile mapping platform
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B2. Vienna 1996
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