Enabling Mobile and Wireless Technologies for Smart Cities

The articles in this special section focs on mobile and wireless communications technologies and services for deployment in smart cities.

[1]  Gordon Wyeth,et al.  SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights , 2012, 2012 IEEE International Conference on Robotics and Automation.

[2]  Bastian Leibe,et al.  OpenStreetSLAM: Global vehicle localization using OpenStreetMaps , 2013, 2013 IEEE International Conference on Robotics and Automation.

[3]  M. Wing,et al.  Consumer-Grade Global Positioning System (GPS) Accuracy and Reliability , 2005 .

[4]  Xin Chen,et al.  City-scale landmark identification on mobile devices , 2011, CVPR 2011.

[5]  Amir Roshan Zamir,et al.  City scale geo-spatial trajectory estimation of a moving camera , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[6]  Zhengyou Zhang,et al.  Parameter estimation techniques: a tutorial with application to conic fitting , 1997, Image Vis. Comput..

[7]  Steven M. Seitz,et al.  Accurate Geo-Registration by Ground-to-Aerial Image Matching , 2014, 2014 2nd International Conference on 3D Vision.

[8]  Horst Bischof,et al.  From structure-from-motion point clouds to fast location recognition , 2009, CVPR.

[9]  Masatoshi Okutomi,et al.  24/7 Place Recognition by View Synthesis , 2015, CVPR.

[10]  Renaud Marlet,et al.  Virtual Line Descriptor and Semi-Local Graph Matching Method for Reliable Feature Correspondence , 2012, BMVC.

[11]  José Ruíz Ascencio,et al.  Visual simultaneous localization and mapping: a survey , 2012, Artificial Intelligence Review.

[12]  Can Ulas Dogruer,et al.  Global urban localization of outdoor mobile robots using satellite images , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  Sebastian Thrun,et al.  Map-Based Precision Vehicle Localization in Urban Environments , 2007, Robotics: Science and Systems.

[14]  Robert C. Bolles,et al.  A RANSAC-Based Approach to Model Fitting and Its Application to Finding Cylinders in Range Data , 1981, IJCAI.

[15]  Andrew Zisserman,et al.  Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[16]  Wolfram Burgard,et al.  G2o: A general framework for graph optimization , 2011, 2011 IEEE International Conference on Robotics and Automation.

[17]  Wolfram Burgard,et al.  Metric localization using Google Street View , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[18]  Davide Scaramuzza,et al.  Air‐ground Matching: Appearance‐based GPS‐denied Urban Localization of Micro Aerial Vehicles , 2015, J. Field Robotics.

[19]  Christian Früh,et al.  Google Street View: Capturing the World at Street Level , 2010, Computer.

[20]  Wei Zhang,et al.  Image Based Localization in Urban Environments , 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).

[21]  Michel Dhome,et al.  Real Time Localization and 3D Reconstruction , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[22]  Xiaozhi Qu,et al.  Vehicle localization using mono-camera and geo-referenced traffic signs , 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).