Road-sign detection and tracking

By C. Fang, Sei-Wang Chen, Chiou-Shann Fuh. IEEE Transactions on Vehicular Technology, 2003

361 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/9deae41cbc4e90ed8d1ebf6066a2154233162bd6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Saturnino Maldonado-Bascón
2. Francisco López-Ferreras
3. Hilario Gómez-Moreno
4. Pedro Gil-Jiménez
5. Sergio Lafuente-Arroyo
6. Hao Zhu
7. Visvanathan Ramesh
8. Henry Leung

Citations in the corpus

• A system for traffic sign detection, tracking, and recognition using color, shape, and motion information (2005, methodology): “A joint treatment of color and shape has been proposed by Fang et al. [4].”
• Overview of Environment Perception for Intelligent Vehicles (2017, background): “Other noteworthy works on recent developments in traffic sign recognition are given in [60] and [62]–[64].”
• Road-Sign Detection and Recognition Based on Support Vector Machines (2007, methodology): “In [5], different methods using the extracted corners are applied to the traffic-sign shapes, and in [14], color extraction is complemented with shape features using two NNs.”