The TSPR project aims to develop the pattern recognition tools specifically for the traffic signs used by the U.S. Department of Transportation Federal Highway Administration. The signs in our interests are defined in the Manual on Uniform Traffic Control Devices (MUTCD). MUTCD is the national standard for all traffic control devices installed on any street, highway, or bycycle trail open to public travle as proivded in Title 23 of the Code of Federal Regulations, Part 655.603. Our group provides the extensive analysis and manually constructed traffic sign database of MUTCD at The summary of MUTCD.
This research is under progress by the Center for Geographic Information system in Georgia Institute of Technology. For details on research members, please visit the TSPR Project Team page. Detecting signs in natural roadway is one of the toughest challenges in computer vision. Detail problems are enlisted at Challenges in the TSPR project. Reviews on related works and progresses are available at Reviews on TSPR related projects.
Our approach is featured using Neural Network which is specially categorized and trained for the each class of MUTCD signs. Details are at Our Approaches. Detail schedules are shown at the Schedule Table and check To-do List for the job details. Progress reports will be archived at Progress Reports and please use Discussions for the Q&A and suggestions. All deliveries of this project are available at Download. If you are interested every single media including files and images, then please access Special:Imagelist.
MediaWiki for the traffic sign pattern recognition (TSPR) project has been successfully installed. Consult the User's Guide for information on using the wiki software.