Presentation 2008-07-28
Recognition Rate Investigation of Various Photography Conditions for Pedestrian Positioning Using Road Traffic Signs
Tomoyuki KOJIMA, Nozomu TOGAWA, Masao YANAGISAWA, Tatsuo OHTSUKI,
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Abstract(in English) Pedestrian navigation systems are being developed by the spread of GPS. However GPS can cause approximately 100-meter error by several influences such as the ionosphere and the multipath in urban areas. In urban areas, 100-meter error may give serious confusion because 100-meter square includes several streets. We have been proposing a pedestrian positioning system using a camera phone and road traffic signs for several meter accuracy. The positioning system compares traffic signs photographed by a camera phone with the map database around the position of the user where a mobile phone grasps from the GPS coordinates, and gives the user his/her accurate position. One of the most important subsystem of this positioning system is a recognition system of road traffic signs. Such systems have been developed for cars, but not users with a mobile phone. We are developing two types recognition systems of road traffics signs. In this paper, we investgate recognition rate using them for given various photograpy conditions. In this investigation, we use the photographs which include road sings taken by the camera phone. Especially we show that the mobile light at night and the backlight at daytime affects the recognition rate drastically.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) pedestrian navigation / GPS / positioning / mobile phone / traffic sign / image recognition
Paper # ITS2008-14
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Committee ITS
Conference Date 2008/7/21(1days)
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Paper Information
Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Recognition Rate Investigation of Various Photography Conditions for Pedestrian Positioning Using Road Traffic Signs
Sub Title (in English)
Keyword(1) pedestrian navigation
Keyword(2) GPS
Keyword(3) positioning
Keyword(4) mobile phone
Keyword(5) traffic sign
Keyword(6) image recognition
1st Author's Name Tomoyuki KOJIMA
1st Author's Affiliation Department of Computer Science and Engineering, Waseda University()
2nd Author's Name Nozomu TOGAWA
2nd Author's Affiliation Department of Computer Science and Engineering, Waseda University
3rd Author's Name Masao YANAGISAWA
3rd Author's Affiliation Department of Computer Science and Engineering, Waseda University
4th Author's Name Tatsuo OHTSUKI
4th Author's Affiliation Department of Computer Science and Engineering, Waseda University
Date 2008-07-28
Paper # ITS2008-14
Volume (vol) vol.108
Number (no) 171
Page pp.pp.-
#Pages 6
Date of Issue