B2. Istanbul 2004
PHOTOBUS: TOWARDS REAL-TIME MOBILE MAPPING
H. Gontran, J. Skaloud, P.-Y. Gillieron
Swiss Federal Institute of Technology (EPFL), Geodetic Engineering Laboratory, 1015 Lausanne, Switzerland
(herve.gontran, jan.skaloud, pierre-yves.gillieron)@epfl.ch
KEY WORDS: Real-time, Mapping, Mobile, Camera, Automation, CCD, Comparison, Advancement
ABSTRACT:
The Geodetic Engineering Laboratory at EPFL has designed a mobile mapping system to determine the geometry of the road: the
Photobus. Currently, the navigation and imagery data are semi-automatically processed with significant input provided by the
operator. This paper describes major steps that move the Photobus towards a real-time mapping system. The first step involves a
crucial enhancement in the positioning component, with the trans
port of RTCM corrections via the Internet. Such a technique allows
the access to a nation-wide service to obtain reliable RTK solutions that are sufficient to describe the trajectory of the vehicle under
good satellite visibility. The second step concerns a change in the imaging component to help the automation of the detection of the
road centreline. Most algorithms of contour detection of the road centreline are deceived by shadows, since low-level filtration
techniques may reject under-exposed pixels of shadowed areas. We are exploring means of reducing this problem directly at the
acquisition level by adopting a logarithmic CMOS camera as the imaging module of the Photobus. This cost-effective technology
rivals with CCD sensors and offers a unique on-chip functionality, power reduction and miniaturisation. In this paper, we will
discuss both enhancements that will enable the Photobus to real-time map the road centreline.
1. INTRODUCTION
Road databases commonly use a linear referencing system
(LRS) for a spatial description of elements of interest. A LRS is
directly implemented on the road, with an origin and a set of
marks painted on the pavement at each kilometre. Its use does
not require an absolute localization of such marks, except for
cartographic purposes. Most of the GIS applications now
include a procedure for the dynamic segmentation of data that
are referenced either in a LRS or in a national reference system.
However, the road objects tend to be added using GPS-based
positioning, which requires the description of the painted marks
and of the centreline geometry in both systems to find the
necessary transformation.
The acquisition of the needed transformation parameters
initiated the design of a mobile mapping system by the
Geodetic Engineering Laboratory of the Swiss Federal Institute
of Technology in Lausanne. Our system can be distinguished
from its predecessors by its ability to georeference the road
centreline through a vertically-oriented CCD camera (Figure 1).
This monoscopic technique is simple and economically
appealing for rendering the road layout with sub-decimetre
accuracy (Gilliéron et al., 2000).
GPS antenna 1 (front) & 2 (back)
CS
(Muy CI
CCD camera E
PHO | OBUS
Eh RR Te i EAE
centreline
Figure 1. The Photobus system
Nevertheless, the processing of the navigation data derived
from a loosely-coupled GPS/INS remains semi-automatic and
still requires considerable input from a skilled operator. On the
other hand, the variation of light conditions conflicts with the
automation of the centreline extraction from video by deceiving
most algorithms of contour detection when a part or the whole
image is over-saturated.
Internet-based GPS-RTK positioning and implementation of a
CMOS (Complementary Metal Oxide Semiconductor) image
sensor help to deal with these issues. Both solutions are
discussed in the paper and contribute to the goal of achieving a
near real-time mobile mapping system. This will limit the
operator's intervention to the data collection in the field while
ensuring immediate quality control.
2. ENHANCING THE POSITIONING COMPONENT
2.1 Positioning using GPS-RTK
A crucial element of any mobile mapping system is registering
the frame pixels in a global coordinate system. This process,
known as georeferencing, is partially limited by the accuracy of
the positioning and orientation components of the image
(Zhang et al, 2003). The decade-old RTK technology has
gained a wide acceptance in geodetic engineering and in public
works. This technology is an extension of relative positioning
based on the interferometric principle of exploiting precise
carrier-phase measurements in real-time. The attainable
accuracy is at the centimetre level provided that the integer
ambiguities can be resolved and fixed (Liu, 2003).
In our context of a vehicle that is mapping the road centreline
via a vertically-oriented camera, the positions of two GPS-RTK
receivers and the derived azimuth provide efficient solutions
under small banking angles (<4°). The underlying requirement