Extraction of road traffic sign information based on a vehicle-borne mobile photogrammetric system

Author:

Zhang Ka1,Sheng Yehua1,Lv Haiyang1

Affiliation:

1. Jiangsu Centre for Collaborative Innovation in Geographical Information Resource Development and Application; Key Laboratory of Virtual Geographic Environment Ministry of Education, School of Geographic Science; Nanjing Normal University; PR China

Funder

the National Natural Science Foundation of China

the National Science and Technology Support Project of China

the Momentous Science Foundation of Jiangsu Province

the project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous)

Reference41 articles.

1. Road sign detection from edge orientation histograms;Alefs;2007 IEEE Intelligent Vehicles Symposium,2007

2. Traffic signs shape classification evaluation I: SVM using distance to borders;Arroyo;2005 IEEE Intelligent Vehicles Symposium,2005

3. Traffic sign recognition using evolutionary Adaboost detection and Forest-ECOC classification;Baro;IEEE Transactions on Intelligent Transportation Systems,2009

4. Road-sign detection and recognition based on support vector machines;Bascon;IEEE Transactions on Intelligent Transportation Systems,2007

5. Multi-column deep neural network for traffic sign classification;Ciresan;Neural Networks,2012

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