Reconstruction of “Next-generation” 3D Digital Road Model By Using Air-borne Three Line Scanner Imagery
SHI Yun
Shibasaki Lab. The Department of Civil Engineering, University of Tokyo
Ryosuke SHIBASAKI
Center for Spatial Information Science, University of Tokyo
Abstract
Nowadays, for digital map, new demands emerge that cannot be fulfilled by traditional digital
maps, especially in many fields like ITS, pedestrian support system and so on. For example, in
Advanced Cruise-Assist Highway System (AHS, One of key issues of ITS), the typical services
should be “Support for prevention of collisions with forward obstacles”, “Support for prevention
of collisions with pedestrians crossing streets”, “Support for prevention of lane departure” and
so on.
Actually, an integration of real-time sensing and map reference from vehicles would be very
effective to achieve a complete Cruise-Assist system such as what can make driver avoid traffic
accident. However, existing digital road maps such as network data or simple 3D data for
vehicle navigation cannot support Cruise-Assist well, in particular, in urban area. In fact, road
features such as Zebra, Lane Line, and Boundary are required for accurate map reference, and
more, those features should have higher precision and more detail information. Therefore, an
effective 3D road data reconstruction method, which provides high representative road features,
is required.
This research carries out a study on reconstruction of this kind of higher precision and more
detailed 3D digital road map (we call it as “Next-generation 3D Digital Road Map”, NDR-Map)
using high-resolution Three Line Scanner (TLS) imagery. A robust road feature extraction
schemes from TLS Imagery, as well as a novel method for Reconstruction of high-precision 3D
digital road model are presented.
The results achieved with our approach show that it is possible and economic to reconstruct the
High-precision 3D Digital Road Map for ITS by using TLS imagery.
