Soft computing based audio signal analysis for accident prediction

PurposeRoad accidents, an inadvertent mishap can be detected automatically and alerts sent instantly with the collaboration of image processing techniques and on-road video surveillance systems. However, to rely exclusively on visual information especially under adverse conditions like night times,...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International Journal of Pervasive Computing and Communications 2021-07, Vol.17 (3), p.329-348
Hauptverfasser:	Valiveti, Hima Bindu, B., Anil Kumar, Duggineni, Lakshmi Chaitanya, Namburu, Swetha, Kuraparthi, Swaraja
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Audio data Audio signals Centroids Classification Crashes Datasets Efficiency Feature extraction Global positioning systems GPS Image processing K-nearest neighbors algorithm Machine learning Methods Microphones Real time Roads & highways Signal analysis Signal processing Skidding Smartphones Soft computing Spectra Support vector machines Surveillance Surveillance systems Tires Traffic accidents Traffic accidents & safety Visibility Weather
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!