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Night time road curvature estimation based on Convolutional Neural Networks | IEEE Conference Publication | IEEE Xplore

Night time road curvature estimation based on Convolutional Neural Networks


Abstract:

Detecting the road geometry at night time is an essential precondition to provide optimal illumination for the driver and the other traffic participants. In this paper we...Show More

Abstract:

Detecting the road geometry at night time is an essential precondition to provide optimal illumination for the driver and the other traffic participants. In this paper we propose a novel approach to estimate the current road curvature based on three sensors: A far infrared camera, a near infrared camera and an imaging radar sensor. Various Convolutional Neural Networks with different configuration are trained for each input. By fusing the classifier responses of all three sensors, a further performance gain is achieved. To annotate the training and evaluation dataset without costly human interaction a fully automatic curvature annotation algorithm based on inertial navigation system is presented as well.
Date of Conference: 23-26 June 2013
Date Added to IEEE Xplore: 15 October 2013
ISBN Information:
Print ISSN: 1931-0587
Conference Location: Gold Coast, QLD, Australia

References

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