Image-based Automatic Recognition and Reconstruction of Traffic Signs and Markings
Date Issued
2015
Date
2015
Author(s)
Juan, Tsung-Hsien
Abstract
The maintenance of road signs and markings is an important issue for road user safety. An automatic recognition technique can provide road information in short time, making maintenance tasks more efficient. This study developed an image-based approach for automatic traffic signs and markings recognition and reconstruction. The proposed algorithm is translation-, scale-, and rotation variant, and is thus capable of detecting and recognizing traffic signs and markings in an outdoor environment. The object tracking technique can be used to segment image sequence adaptively and to provide conjugate photos for space intersection. Based on the results from a field experiment, it has been demonstrated that the successful detection rate reached 100 % for traffic signs and 80.9 % for markings. The classification accuracy of shape reached 100 % for both traffic signs and markings, and the recognition accuracy of traffic sign pattern reached 95.0 %. Consequently, an image-based automatic recognition and reconstruction of traffic signs and markings is achieved by algorithm proposed in this study.
Subjects
Sign recognition
Marking recognition
Space intersection
DtB method
Type
thesis
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