[ image: ISPRS ]
"...The majority of today's mobile mapping systems are either focusing on acquiring 3D point clouds by means of mobile laser scanners or georeferenced panoramic imagery. However, there are a number of well-established and highly-efficient surveying techniques such as airborne and close range multiray and stereo photogrammetry, which could be adapted to and exploited in land-based mobile mapping. While first experiments with stereovision based mobile mapping date back some 20 years, recent progress in positioning and imaging sensors, onboard data storage, algorithms and computing technologies such as High-Performance Computing are enabling very powerful stereovision mobile mapping approaches. They don't just give the possibility to increase the efficiency in 3D geodata acquisition; they also support new ways of managing and exploiting road infrastructure data. These include the intuitive and accurate 3D mapping of geo-objects, the automatic creation of depth maps and 3D point clouds using dense matching, the interaction of georeferenced imagery with a GIS or the augmentation of the georeferenced imagery with geospatial contents. In this paper we introduce a state-of-the-art stereovision mobile mapping system with different stereo imaging sensors and present a series of performance tests carried out with this system. The aim of these empirical tests was to investigate different performance aspects under real-world conditions."
More information here.
3D Continuous Positioning for Security Applications - full article here
[ image : extremetech ]
Links and leads also pointing across to The Robotics Institute.