Design and evaluation of a low-cost street-level image capturing vehicle for south-east Asia

Purpose – The purpose of this paper is to present a low-cost, highly mobile system for performing street-level imaging. Street-level imaging and geo-location-based services are rapidly growing in both popularity and coverage. Google Street View and Bing StreetSide are two of the free, online services which allow users to search location-based information on interactive maps. In addition, these services also provide software developers and researchers a rich source of street-level images for different purposes – from identifying traffic routes to augmented reality applications. Currently, coverage for Street View and StreetSide is limited to more affluent Western countries with sparse coverage throughout south-east Asia and Africa. In this paper, we present a low-cost system to perform street-level imaging targeted towards the congested, motorcycle-dominant south-east Asian countries. The proposed system uses a catadioptric imaging system to capture 360-degree panoramic images which are geo-located using a...

[1]  Michal Havlena,et al.  From Google Street View to 3D city models , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

[2]  Luis Puig,et al.  Calibration of omnidirectional cameras in practice: A comparison of methods , 2012, Comput. Vis. Image Underst..

[3]  Bui Hai Phong,et al.  Low cost in-flow traffic monitor for South-East Asia , 2016, 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE).

[4]  David Ryan Koes,et al.  Precise omnidirectional camera calibration , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

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

[6]  Charalampos Konstantopoulos,et al.  Mobile recommender systems in tourism , 2014, J. Netw. Comput. Appl..

[7]  Roland Siegwart,et al.  A Toolbox for Easily Calibrating Omnidirectional Cameras , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Jianxiong Xiao,et al.  Image-based street-side city modeling , 2009, SIGGRAPH 2009.

[9]  Kostas Daniilidis,et al.  Catadioptric camera calibration , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[10]  George Wolberg,et al.  Robust image registration using log-polar transform , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[11]  Tomás Svoboda,et al.  Epipolar Geometry for Central Catadioptric Cameras , 2002, International Journal of Computer Vision.

[12]  Shree K. Nayar,et al.  A Theory of Single-Viewpoint Catadioptric Image Formation , 1999, International Journal of Computer Vision.

[13]  Jana Kosecka,et al.  Piecewise planar city 3D modeling from street view panoramic sequences , 2009, CVPR.

[14]  Mubarak Shah,et al.  Street View Challenge: Identification of Commercial Entities in Street View Imagery , 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

[15]  Steven M. Seitz,et al.  Photo tourism: exploring photo collections in 3D , 2006, ACM Trans. Graph..

[16]  Julien O. Teitler,et al.  Using Google Street View to audit neighborhood environments. , 2011, American journal of preventive medicine.

[17]  Shree K. Nayar,et al.  Non-metric calibration of wide-angle lenses and polycameras , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[18]  Tim Paek,et al.  Augmented reality vs. street views: a driving simulator study comparing two emerging navigation aids , 2011, Mobile HCI.

[19]  Michael Cohen,et al.  Street slide: browsing street level imagery , 2010, SIGGRAPH 2010.

[20]  Andrew Lippman,et al.  Movie-maps: An application of the optical videodisc to computer graphics , 1980, SIGGRAPH '80.

[21]  Tomas Pajdla,et al.  Autocalibration & 3D reconstruction with non-central catadioptric cameras , 2004, CVPR 2004.

[22]  Carlos E. Palau,et al.  A video streaming application for urban traffic management , 2007, J. Netw. Comput. Appl..

[23]  Bing-Yu Chen,et al.  Integrated Google Maps and smooth street view videos for route planning , 2010, 2010 International Computer Symposium (ICS2010).

[24]  Robert Ross,et al.  Catadioptric vehicle undercarriage imaging with visual path planning , 2011, The 5th International Conference on Automation, Robotics and Applications.