Authors: Pinar Boyraz, John H.L. Hansen
Addresses: Erik Jonsson School of Engineering and Computer Science, Electrical Engineering Department, The University of Texas at Dallas, Richardson, TX 75080, USA. ' Erik Jonsson School of Engineering and Computer Science, Electrical Engineering Department, The University of Texas at Dallas, Richardson, TX 75080, USA
Abstract: In the development of driver adaptive and context aware active safety applications, driver-vehicle interaction signals offer excellent opportunities for advanced system design, yet limited progress has been realised. The implementation of driver adaptive and context aware systems requires longer time windows to analyse the current status of the driver and/or traffic situation ahead. In this study, a summary of systems that can be realised based on the long-term analysis of driver-vehicle interaction signals is presented. These signals are readily obtained by using Controller Area Network (CAN) Bus via On Board Diagnostic System (OBD) II port that can be utilised at low cost. Based on the analysis results, quantitative metrics are suggested that can be used in many ways, with two prospects considered here: (1) manoeuvres can be recognised for context aware intelligent active safety and (2) the models or signal processing methods can be proposed so as to distinguish distracted/impaired driver behaviour from normal/safe behaviour.
Keywords: AVS; active vehicle safety; intelligent vehicle systems; signal processing; driver behaviour modelling; driver-vehicle interaction signals; context awareness; distracted behaviour; impaired behaviour.
International Journal of Vehicle Safety, 2009 Vol.4 No.4, pp.330 - 364
Available online: 19 Apr 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article