Abstract
This paper presents a single camera vehicle detection technique for forward collision warning systems suitable to be integrated in embedded platforms. It combines the robustness of detectors based on classification methods with an innovative perspective multi-scale procedure to scan the images that dramatically reduces the computational cost associated with robust detectors. In our experiments we compare different implementation classifiers in search for a trade-off between the real-time constraint of embedded platforms and the high detection rates required by safety applications.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-319-02895-8_64
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Ortega, J.D., Nieto, M., Cortes, A., Florez, J. (2013). Perspective Multiscale Detection of Vehicles for Real-Time Forward Collision Avoidance Systems. In: Blanc-Talon, J., Kasinski, A., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2013. Lecture Notes in Computer Science, vol 8192. Springer, Cham. https://doi.org/10.1007/978-3-319-02895-8_58
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DOI: https://doi.org/10.1007/978-3-319-02895-8_58
Publisher Name: Springer, Cham
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