Traffic sign recognition for computer vision project-based learning

David Geronimo, Joan Serrat, Antonio M. Lopez, Ramon Baldrich

Research output: Contribution to journalArticleResearchpeer-review

21 Citations (Scopus)


This paper presents a graduate course project on computer vision. The aim of the project is to detect and recognize traffic signs in video sequences recorded by an on-board vehicle camera. This is a demanding problem, given that traffic sign recognition is one of the most challenging problems for driving assistance systems. Equally, it is motivating for the students given that it is a real-life problem. Furthermore, it gives them the opportunity to appreciate the difficulty of real-world vision problems and to assess the extent to which this problem can be solved by modern computer vision and pattern classification techniques taught in the classroom. The learning objectives of the course are introduced, as are the constraints imposed on its design, such as the diversity of students' background and the amount of time they and their instructors dedicate to the course. The paper also describes the course contents, schedule, and how the project-based learning approach is applied. The outcomes of the course are discussed, including both the students' marks and their personal feedback. © 1963-2012 IEEE.
Original languageEnglish
Article number6425440
Pages (from-to)364-371
JournalIEEE Transactions on Education
Issue number3
Publication statusPublished - 5 Feb 2013


  • Computer vision (CV)
  • Master's degree
  • project-based learning (PBL)
  • traffic sign


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