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- W2554026282 abstract "Mobile mapping refers to the means of collecting georeferenced geospatial data using multi-sensors that are mounted on a moving platform. Multi-sensor integrated mapping technology has clearly established a trend towards fast geospatial data acquisition for many applications such as highway infrastructure mapping and corridor inventories acquisition. A common feature of land based mobile mapping systems (LMMS) is that a camera array is mounted on a mobile platform, allowing for stereo imaging and 3-D measurements. Direct georeferencing of digital image sequences is accomplished through integrated navigation component. Currently available land-based systems can achieve decimetre level accuracy of 3-D objects coordinate. Additionally, airborne sensors, such as large-format digital cameras, laser scanners (or LiDAR) have undergone tremendous development and have played a significant role in many mapping applications. Collaborative mapping with multi-platform sensors is becoming a new technological trend in mobile mapping. Images captured by terrestrial and airborne MMS are different in the sense of direction, scale, coverage, and hidden/visible features. With the fusion of images captured by different kinds of sensors (multi-modality), 2D images coming from the same vehicle, aerial images, an important issue will be the correct geo-referencing of data, which means a good localization (position, orientation) with respect to a common coordinate frame before model creation. Consequently, the integration between the data captured from different platforms is of high potential hence both image/navigation data sets are complementary and can be integrated to complete the picture about the earth’s surface. The proposed registration scheme improves the 3D mapping accuracy. Also, the common adjustment of terrestrial and aerial photogrammetric networks will recover/enhance sensors georeferencing information which bridges terrestrial systems during GPS signal outages or georeferencing aerial images block. The proposed integration framework uses lines (e.g. road edges and lane lines) as matching entities in addition to the traditionally-used point-based approach. In this research we consider the scientific and the technical issues about the strategy of the proposed fusion scheme. The used modalities simulate the configurations of the VISAT TM mobile mapping system." @default.
- W2554026282 created "2016-11-30" @default.
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- W2554026282 date "2009-01-01" @default.
- W2554026282 modified "2023-09-24" @default.
- W2554026282 title "MULTI-PLATFORM MOBILE DATA FUSION" @default.
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