Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W1, 1-6, 2014
https://doi.org/10.5194/isprsarchives-XL-3-W1-1-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
05 Mar 2014
Low Cost Vision Based Personal Mobile Mapping System
M. M. Amami, M. J. Smith, and N. Kokkas Faculty of Engineering, The University of Nottingham, Nottingham Geospatial Building, Triumph Road, Nottingham NG7 2TU, UK
Keywords: Mobile Mapping System, low cost, vision navigation, digital cameras, GPS, IMU, automatic image matching, bundle adjustment Abstract. Mobile mapping systems (MMS) can be used for several purposes, such as transportation, highway infrastructure mapping and GIS data collecting. However, the acceptance of these systems is not wide spread and their use is still limited due the high cost and dependency on the Global Navigation Satellite System (GNSS). A low cost vision based personal MMS has been produced with an aim to overcome these limitations. The system has been designed to depend mainly on cameras and use of low cost GNSS and inertial sensors to provide a bundle adjustment solution with initial values. The system has the potential to be used indoor and outdoor. The system has been tested indoors and outdoors with different GPS coverage, surrounded features, and narrow and curvy paths. Tests show that the system is able to work in such environments providing 3D coordinates of better than 10 cm accuracy.
Conference paper (PDF, 910 KB)


Citation: Amami, M. M., Smith, M. J., and Kokkas, N.: Low Cost Vision Based Personal Mobile Mapping System, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W1, 1-6, https://doi.org/10.5194/isprsarchives-XL-3-W1-1-2014, 2014.

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