Scholarly record
DEVELOPMENT OF A NEW SYSTEM FOR RAPID INDOOR MAPPING
Publication Impact Profile
Publication details
References14
M. Quigley, D. Stavens, A. Coates, and S. Thrun: Sub-meter indoor localization in unmodified environments with inexpensive sensors. IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2039– 2046, Oct 2010.
R. Huitl, G. Schroth, S. Hilsenbeck, F. Schweiger and E. Steinbach: TUMindoor: AN EXTENSIVE IMAGE AND POINT CLOUD DATASET FOR VISUAL INDOOR LOCALIZATION AND MAPPING. Institute for Media Technology, Technische Universit at Munchen, Germany. 978-1-4673 -2533-2/12
Google, A new frontier for Google Maps: mapping the indoors, 2012, http://googleblog.blogspot.com/2011/11/new-frontierfor-google-maps-mapping.html
Krzysztof Trawiński, Jose M. Alonso, Noelia Hernández: A multiclassifier approach for topology-based WiFi indoor localization. Soft Comput (2013) 17:1817 – 1831. DOI: 10.1007/s00500-013-1019-5 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org 16th International Multidisciplinary Scientific GeoConference SGEM 2016
Yin Chen, Dimitrios Lymberopoulos, Jie Liu, and Bodhi Priyantha: Indoor Localization Using FM Signals. Qualcomm Research Silicon Valley, Apt. 02, 601 Almarida Drive, Campbell, CA 95008
Budroni, A., Boehm, J., 2010. Automatic 3d Modelling Of Indoor Manhattan-world Scenes From Laser Data, ISPRS Commission V Mid-Term Symposium 'Close Range Image Measurement Techniques', Newcastle upon Tyne, UK Newcastle, pp. 115-120.
Thomson C., Apostolopoulos G., Backes D., Boehm J.: MOBILE LASER SCANNING FOR INDOOR MODELLING. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-5/W2, 2013. ISPRS Workshop Laser Scanning 2013, 11 – 13 November 2013, Antalya, Turkey 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org
M. Quigley, D. Stavens, A. Coates, and S. Thrun: Sub-meter indoor localization in unmodified environments with inexpensive sensors. IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2039– 2046, Oct 2010.
R. Huitl, G. Schroth, S. Hilsenbeck, F. Schweiger and E. Steinbach: TUMindoor: AN EXTENSIVE IMAGE AND POINT CLOUD DATASET FOR VISUAL INDOOR LOCALIZATION AND MAPPING. Institute for Media Technology, Technische Universit at Munchen, Germany. 978-1-4673 -2533-2/12
Google, A new frontier for Google Maps: mapping the indoors, 2012, http://googleblog.blogspot.com/2011/11/new-frontierfor-google-maps-mapping.html
Krzysztof Trawiński, Jose M. Alonso, Noelia Hernández: A multiclassifier approach for topology-based WiFi indoor localization. Soft Comput (2013) 17:1817 – 1831. DOI: 10.1007/s00500-013-1019-5 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org 16th International Multidisciplinary Scientific GeoConference SGEM 2016
Yin Chen, Dimitrios Lymberopoulos, Jie Liu, and Bodhi Priyantha: Indoor Localization Using FM Signals. Qualcomm Research Silicon Valley, Apt. 02, 601 Almarida Drive, Campbell, CA 95008
Budroni, A., Boehm, J., 2010. Automatic 3d Modelling Of Indoor Manhattan-world Scenes From Laser Data, ISPRS Commission V Mid-Term Symposium 'Close Range Image Measurement Techniques', Newcastle upon Tyne, UK Newcastle, pp. 115-120.
Thomson C., Apostolopoulos G., Backes D., Boehm J.: MOBILE LASER SCANNING FOR INDOOR MODELLING. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-5/W2, 2013. ISPRS Workshop Laser Scanning 2013, 11 – 13 November 2013, Antalya, Turkey 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.

