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Automatic recognition and location of road signs from terrestrial color imagery | |
Author | Sompoch Puntavungkour |
Call Number | AIT Thesis no.SR-00-5 |
Subject(s) | Traffic signs and signals Intelligent Vehicle Highway Systems Remote-sensing images |
Note | A thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering |
Publisher | Asian Institute of Technology |
Abstract | Mobile Mapping Systems (MMS) are an emerging trend in Geomatics. They have developed from the theory to a standard mapping tool. They differ from traditional mapping methods mainly by their fast data collection speed and low cost that is applied for data collection of the intelligent transportation systems (ITS). The automatic recognition and location of road sign from ground image algorithm, an important part of MMS, has been developed but is still complex and not commercial. In this research, a road sign positioning and recognition in an automatic algorithm is presented. For the data collection, the two calibrated sensors, RTK-GPS and Digital CCD camera, integrated on a van are applied with data synchronization. The Road Sign Recognition consists of two parts: Sign detection and Sign Identification. The Sign Detection is based on Semi-geometric correction. The Sign Identification is based on the Image Matching with Sign Library. The Sign positioning consists of Data extraction and Sign position calculation. The Data extraction is based on Data Synchronization. The Sign Position is based on a new simple algorithm with the surveying principle. However, the result is accurate for beginning to realize the real application in the near future. |
Year | 2000 |
Type | Thesis |
School | School of Advanced Technologies (SAT) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Space Technology Application and Research (SR) |
Chairperson(s) | Chen, Xiaoyong ;Kusanagi, Michiro; |
Examination Committee(s) | Honda, Kiyoshi ;Surat Lertlum; |
Scholarship Donor(s) | H.M. Queen Scholarship; |
Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2000 |