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has been cited by the following article:

• TITLE: Collision Vehicle Detection System Based on GPS/INS Integration

  AUTHORS: Neda Navidi, Rene Jr. Landry

  KEYWORDS: Accident Detection, GPS, INS, EKF, GPS/INS Integration, Calibration, De-Noising

  JOURNAL NAME: Journal of Computer and Communications, Vol.5 No.2, February 28, 2017

  ABSTRACT: Continuous vehicle tracking as well as detecting accidents, are significant services that are needed by many industries including insurance and vehicle rental companies. The main goal of this paper is to provide methods to detect the position of car accident. The models consider GPS/INS-based navigation algorithm, calibration of navigational sensors, a de-nosing method as long as vehicle accident, expressed by a set of raw measurements which are obtained from various environmental sensors. In addition, the location-based accident detection model is tested in different scenarios. The results illustrate that under harsh environments with no GPS signal, location of accident can be detected. Also results confirm that calibration of sensors has an important role in position correction algorithm. Finally, the results present that the proposed accident detection algorithm can recognize accidents and related its positions.