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Multi-camera traffic light recognition using a classifying Labeled Multi-Bernoulli filter | IEEE Conference Publication | IEEE Xplore

Multi-camera traffic light recognition using a classifying Labeled Multi-Bernoulli filter


Abstract:

The correct handling of complex traffic-light-controlled intersections is still a challenge for automated vehicles. While a number of image-based approaches tackle close-...Show More

Abstract:

The correct handling of complex traffic-light-controlled intersections is still a challenge for automated vehicles. While a number of image-based approaches tackle close-range recognitions, an early traffic light detection at high distances is of great importance in the area of energy-efficient driving. For this reason, a traffic light detection system consisting of multiple on-board cameras is presented in this work, enabling the detection of traffic lights even from a distance of more than 200m. Furthermore, the presented system is based on tracking techniques using a Labeled Multi-Bernoulli filter in combination with the fusion of classifications based on the Dempster-Shafer theory of evidence. The system was tested on a real world data set collected in Germany and an increase in performance was demonstrated by a multi-camera approach.
Date of Conference: 11-14 June 2017
Date Added to IEEE Xplore: 31 July 2017
ISBN Information:
Conference Location: Los Angeles, CA, USA

I. Introduction

Traffic light recognition (TLR) systems can be used for various purposes. Depending on the application, different requirements are set. In the case of advanced driver assistance systems (ADAS), a traffic light detection can be used purely informatively in order to assist the driver or actively intervene, e.g., in case of potentially running a red light. With the continuous development in the area of automated driving, the requirements further increase since no errors can be tolerated or at least the system has to be able to detect potential difficulties. Besides ADAS, a TLR system can contribute to energy-efficient driving by an early recognition of upcoming traffic lights.

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References

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