AMM6: Automated System for Classification and Geolocalization of US Traffic Signs

Brief Project Description: We have annotated the world's largest traffic sign recognition dataset containing 181 distinct classes of road signs and their GPS coordinates. From this data, we have built an automated system that identifies, classifies, and geolocalizes the signs from roadside images. This system will ultimately be capable of automatically constructing a GIS map displaying the type and GPS location of traffic signs using roadside images as input.

Poster: click to enlarge

 Classification and Geo-Localization of US Traffic Signs

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Supporting Presentation

Presenters: Daniel Wilson and Safwan Wshah, University of Vermont

VTrans Champion: Jonathan Nelson, Asset Management Bureau

Questions or comments about the Poster? Contact the researcher, The researcher will assemble a Q and A document reflecting all queries received by 9 AM September 14th. The Q and A should be posted by September 15.