Demo: iMoon: Using Smartphones for Image-based Indoor Navigation
暂无分享,去创建一个
Jiang Dong | Marius Noreikis | Yu Xiao | Zhonghong Ou | Antti Ylä-Jääski | Antti Ylä-Jääski | Zhonghong Ou | Marius Noreikis | Jiang Dong | Yu Xiao
[1] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[2] Antony Galton,et al. Efficient generation of simple polygons for characterizing the shape of a set of points in the plane , 2008, Pattern Recognit..
[3] Steven M. Seitz,et al. Multicore bundle adjustment , 2011, CVPR 2011.
[4] Guoyu Lu,et al. Image-based indoor localization system based on 3D SfM model , 2014, Electronic Imaging.
[5] Jing Liu,et al. Survey of Wireless Indoor Positioning Techniques and Systems , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[6] Sukhan Lee,et al. Indoor human localization with orientation using WiFi fingerprinting , 2014, ICUIMC.
[7] Jacky C. K. Chow. Multi-Sensor Integration for Indoor 3D Reconstruction , 2014, ArXiv.
[8] Andrew W. Fitzgibbon,et al. KinectFusion: Real-time dense surface mapping and tracking , 2011, 2011 10th IEEE International Symposium on Mixed and Augmented Reality.
[9] Klaus Wehrle,et al. FootPath: Accurate map-based indoor navigation using smartphones , 2011, 2011 International Conference on Indoor Positioning and Indoor Navigation.
[10] Michael Goesele,et al. Scene Reconstruction and Visualization From Community Photo Collections , 2010, Proceedings of the IEEE.
[11] He Wang,et al. I am a smartphone and i can tell my user's walking direction , 2014, MobiSys.
[12] Torsten Sattler,et al. Fast image-based localization using direct 2D-to-3D matching , 2011, 2011 International Conference on Computer Vision.
[13] Changchang Wu,et al. SiftGPU : A GPU Implementation of Scale Invariant Feature Transform (SIFT) , 2007 .
[14] Jan-Michael Frahm,et al. Building Rome on a Cloudless Day , 2010, ECCV.
[15] Antti Ylä-Jääski,et al. Utilizing internet photos for indoor mapping and localization - opportunities and challenges , 2015, 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
[16] Ig-Jae Kim,et al. Indoor location sensing using geo-magnetism , 2011, MobiSys '11.
[17] Paramvir Bahl,et al. The Case for VM-Based Cloudlets in Mobile Computing , 2009, IEEE Pervasive Computing.
[18] Anshul Rai,et al. Zee: zero-effort crowdsourcing for indoor localization , 2012, Mobicom '12.
[19] Changchang Wu,et al. Towards Linear-Time Incremental Structure from Motion , 2013, 2013 International Conference on 3D Vision.
[20] Davide Carboni,et al. Indoor pedestrian navigation system using a modern smartphone , 2010, Mobile HCI.
[21] Feng Zhao,et al. A reliable and accurate indoor localization method using phone inertial sensors , 2012, UbiComp.
[22] Brian Okorn,et al. Toward Automated Modeling of Floor Plans , 2010 .
[23] Paramvir Bahl,et al. RADAR: an in-building RF-based user location and tracking system , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).
[24] Yuwei Chen,et al. Bayesian Fusion for Indoor Positioning Using Bluetooth Fingerprints , 2013, Wirel. Pers. Commun..
[25] Ignas Niemegeers,et al. A survey of indoor positioning systems for wireless personal networks , 2009, IEEE Communications Surveys & Tutorials.
[26] Joy Zhang,et al. Wi-Fi fingerprinting through active learning using smartphones , 2013, UbiComp.
[27] Kaigui Bian,et al. Jigsaw: indoor floor plan reconstruction via mobile crowdsensing , 2014, MobiCom.
[28] Richard Szeliski,et al. Building Rome in a day , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[29] Steven M. Seitz,et al. The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces , 2014, ECCV.
[30] Moustafa Youssef,et al. No need to war-drive: unsupervised indoor localization , 2012, MobiSys '12.
[31] Antti Ylä-Jääski,et al. Utilize Signal Traces from Others? A Crowdsourcing Perspective of Energy Saving in Cellular Data Communication , 2015, IEEE Transactions on Mobile Computing.
[32] Richard Szeliski,et al. Reconstructing building interiors from images , 2009, 2009 IEEE 12th International Conference on Computer Vision.