Performance evaluation of a real time traffic sign recognition system

Müller-Schneiders, Stefan; Nunn, Christian; Meuter, Mirko

doi:10.1109/ivs.2008.4621164

Cited by 13 publications

(11 citation statements)

References 18 publications

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“…Unlike from the work of Schneiders [8], a more complete classification of the traffic signs status has been defined and it is summarized in Table 1.…”

Section: Amentioning

confidence: 99%

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A validation tool for traffic signs recognition systems

Marenco

Fontana

Ghisio

et al. 2009

2009 12th International IEEE Conference on Intelligent Transportation Systems

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Abstract-During the last few years many Advanced Driver Assistant Systems have been developed and a larger number of new car models every year is going to be equipped with these systems. However the product/function scenario lacks of common evaluation methodologies and tools for testing and improving performances of these systems. In this paper a validation methodology and a tool for Traffic Sign Recognition Systems evaluation (TSRs) is described.

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“…Unlike from the work of Schneiders [8], a more complete classification of the traffic signs status has been defined and it is summarized in Table 1.…”

Section: Amentioning

confidence: 99%

“…Sometimes the performance analysis are computed related to a specific TSR system under test which strongly biases the method [8].…”

Section: Introductionmentioning

confidence: 99%

A validation tool for traffic signs recognition systems

Marenco

Fontana

Ghisio

et al. 2009

2009 12th International IEEE Conference on Intelligent Transportation Systems

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“…Finally, a situation analysis module determines current restrictions and displays them to the driver. For a more detailed description of the system see [3]. …”

Section: Traffic Sign Recognition Systemmentioning

confidence: 99%

“…Thereby, the driver is informed, warned or relieved from driving tasks. The most important available assistance systems are lane departure warning [2], traffic sign recognition [3], [4], head light control [5] and collision warning (vehicle detection [6] and pedestrian detection [7]). The information acquisition for these systems is manly done by sensors that can monitor the environment of the car.…”

Section: Introductionmentioning

confidence: 99%

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A two stage detection module for traffic signs

Nunn

Kummert

Müller-Schneiders

2008

2008 IEEE International Conference on Vehicular Electronics and Safety

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At present the general shape based detection of traffic signs is an unsolved problem. Approaches that exist either concentrate on a particular shape (e.g. Hough transform for circles) or suffer from a high computational demand (see e.g.[1]). This paper presents a time efficient approach that can be used to detect traffic signs with a shape that can be described as a regular polygon or a circle. The major contribution that leads to a time efficient behavior is the introduction of a twostage detection approach. In the first stage, just the property symmetry is explored to detect candidate regions. In the second step, regular polygons (including circles) can be found.

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