Recognition of driving manoeuvres using smartphone-based inertial and GPS measurement
Date
2014-12
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The ubiquitous presence of smartphones provides
a new platform on which to implement sensor networks for
ITS applications. In this paper we show how the embedded
sensors and GPS of a smartphone can be used to recognize
driving manoeuvres. Smartphone-based driving behaviour monitoring
has applications in the insurance industry and for law
enforcement. The proposed solution is suitable for real-time
applications, such as driver assistance and safety systems. An
endpoint detection algorithm is used on filtered accelerometer
and gyroscope data to find the start- and endpoints of driving
events. The relevant sensor data is compared against different sets
of manoeuvre signal templates using the dynamic time warping
(DTW) algorithm. A heuristic method is then used to classify a
manoeuvre as normal or aggressive based on its speed and closest
matching acceleration and rotation rate templates.
Description
Please cite as follows:
Engelbrecht, J., Booysen, M. J. & Van Rooyen, G-J. 2014. Recognition of driving manoeuvres using smartphone-based inertial and GPS measurement, in Proceedings of the First International Conference on the use of Mobile Informations and Communication Technology (ICT) in Africa UMICTA 2014, 9-10 December 2014, STIAS Conference Centre, Stellenbosch: Stellenbosch University, Department of Electrical & Electronic Engineering, South Africa, ISBN: 978-0-7972-1533-7.
The conference is available at http://mtn.sun.ac.za/conference2014/
See also the record http://hdl.handle.net/10019.1/95703
Engelbrecht, J., Booysen, M. J. & Van Rooyen, G-J. 2014. Recognition of driving manoeuvres using smartphone-based inertial and GPS measurement, in Proceedings of the First International Conference on the use of Mobile Informations and Communication Technology (ICT) in Africa UMICTA 2014, 9-10 December 2014, STIAS Conference Centre, Stellenbosch: Stellenbosch University, Department of Electrical & Electronic Engineering, South Africa, ISBN: 978-0-7972-1533-7.
The conference is available at http://mtn.sun.ac.za/conference2014/
See also the record http://hdl.handle.net/10019.1/95703
Keywords
Smartphones, GPS measurement, Sensor networks, Wireless sensor networks