Traffic Signs Recognition System with Convolution Neural Networks

Felipe Massakazu Sisido, Jonas Hector Hiroshi Goya,Guilherme Sousa Bastos,Audeliano Wolian Li

2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on Robotics in Education (WRE)（2018）

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摘要

The purpose of this paper is to develop an automatic traffic sign recognition system, making use of computation vision techniques and convolution neural networks. The work is divided in two phases, namely detection and classification, and here is presented a different approach on the detection phase. The tests were performed in a simulator and in a real controlled environment using the framework ROS (Robot Operating System) and implemented with the AmigoBot robot.

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关键词

Convolution Neural Networks,CNN,Machine Learning,Traffic Signs Recognition,ROS

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