To extend the functionalities of Advanced Driver Assistance Systems (ADAS) and have a more accurate control on the parameters of sensors mounted on an intelligent vehicle, a tool that can classify the scenarios which the vehicle moves in, is needed. This article presents a comparison of three classification techniques (PCA, ANN and SVM) to obtain a fast and robust scene classifier based only on images. The systems presented in this paper have been trained on three different categories of traffic scenarios: urban, highway, and rural, on a total of more than 23 hours of driving in different countries.

Comparison of Three Approaches for Scenario Classification for the Automotive FieldImage Analysis and Processing / Bernini, Nicola; Bertozzi, Massimo; Luca, Devincenzi; Mazzei, Luca. - STAMPA. - 8156:(2013), pp. 582-591. (Intervento presentato al convegno IAPR Intl. Conf. on Image Analysis and Processing -- ICIAP 2013) [10.1007/978-3-642-41181-6_59].

Comparison of Three Approaches for Scenario Classification for the Automotive FieldImage Analysis and Processing

BERNINI, Nicola;BERTOZZI, Massimo;MAZZEI, Luca
2013-01-01

Abstract

To extend the functionalities of Advanced Driver Assistance Systems (ADAS) and have a more accurate control on the parameters of sensors mounted on an intelligent vehicle, a tool that can classify the scenarios which the vehicle moves in, is needed. This article presents a comparison of three classification techniques (PCA, ANN and SVM) to obtain a fast and robust scene classifier based only on images. The systems presented in this paper have been trained on three different categories of traffic scenarios: urban, highway, and rural, on a total of more than 23 hours of driving in different countries.
2013
9783642411809
9783642411816
Comparison of Three Approaches for Scenario Classification for the Automotive FieldImage Analysis and Processing / Bernini, Nicola; Bertozzi, Massimo; Luca, Devincenzi; Mazzei, Luca. - STAMPA. - 8156:(2013), pp. 582-591. (Intervento presentato al convegno IAPR Intl. Conf. on Image Analysis and Processing -- ICIAP 2013) [10.1007/978-3-642-41181-6_59].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2636660
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