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Fast shape-based road sign detection for a driver assistance system
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
2004 (English)In: 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2004, 70-75 p.Conference paper, Published paper (Refereed)
Abstract [en]

A new method is presented for detecting triangular, square and octagonal road signs efficiently and robustly. The method uses the symmetric nature of these shapes, together with the pattern of edge orientations exhibited by equiangular polygons with a known number of sides, to establish possible shape centroid locations in the image. This approach is invariant to in-plane rotation and returns the location and size of the shape detected. Results on still images show a detection rate of over 95%. The method is efficient enough for real-time applications, such as on-board-vehicle sign detection.

Place, publisher, year, edition, pages
2004. 70-75 p.
Keyword [en]
Accident prevention, Algorithms, Automobile drivers, Computational complexity, Image analysis, Online searching, Real time systems, Driver assistance system, High speed implementation, Road sign detection, Robust computation, Traffic signs
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-157723Scopus ID: 2-s2.0-14044278889ISBN: 0780384636 (print)OAI: oai:DiVA.org:kth-157723DiVA: diva2:771865
Conference
2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 28 September 2004 through 2 October 2004, Sendai, Japan
Note

QC 20141215

Available from: 2014-12-15 Created: 2014-12-12 Last updated: 2014-12-15Bibliographically approved

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