Buscar en
Revista Iberoamericana de Automática e Informática Industrial RIAI
Toda la web
Inicio Revista Iberoamericana de Automática e Informática Industrial RIAI Sistema de Alerta al Conductor Basado en Realimentación Vibro-Táctil
Información de la revista
Vol. 12. Núm. 1.
Páginas 36-48 (Enero - Marzo 2015)
Compartir
Compartir
Descargar PDF
Más opciones de artículo
Visitas
3616
Vol. 12. Núm. 1.
Páginas 36-48 (Enero - Marzo 2015)
Open Access
Sistema de Alerta al Conductor Basado en Realimentación Vibro-Táctil
Car accidents prevention warning system based on vibrotactile steering wheels
Visitas
3616
Emanuel Slawiñski1,
Autor para correspondencia
slawinski@inaut.unsj.edu.ar

Autor para correspondencia.
, Vicente Mut, Franco Penizzotto
Instituto de Automática (INAUT). Universidad Nacional de San Juan, Av. Libertador San Martín 1109 (oeste). J5400ARL. San Juan, Argentina
Este artículo ha recibido

Under a Creative Commons license
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Resumen

Este trabajo propone el diseño y desarrollo de un sistema de alerta al conductor basado en la realimentación de estimulos vibro- táctiles de fuerza con el objetivo de prevenir accidentes de tránsito. El sistema posee dos agarres vibro-tactiles, los cuales se pueden montar facilmente sobre cualquier tipo de vehículo, y un sistema electrónico basado en un sistema de localización y comunicación inalámbrica entre vehículos, que permite calcular en línea una señal de alerta vibro-táctil para avisar al conductor de una posible situación de peligro en los proximos segundos. Un modelo focalizado en factores humanos es propuesto y utilizado para justificar el uso adecuado de estímulos artificiales. Además se describen, el hardware, la comunicación entre vehículos y software embebido. Finalmente, el sistema es probado en un simulador 3D de carrera de código abierto y también utilizando dos vehículos comunes.

Palabras clave:
seguridad
sensores e instrumentos virtuales
automoción
estímulos táctiles de fuerza
prevención de accidentes
Abstract

This paper proposes the design and build of a driver warning system, based on vibro-tactile feedback for preventing accidents through the generation of tactile stimuli. The system has two vibro-tactile grips devices which are easily mounted on the steering wheel of any vehicle and an electronic system based on location sensing as well as inter-vehicles communication, from which a risk level is computed on line in order to warn the driver about dangerous situations and risk zones. A model focalized on human factors is proposed and it is employed to justify the advantages of using artificial stimuli. Besides, the hardware, communication between vehicles and embedded software, are described too. Finally, experiences using the device in a racing car simulator and tests using two ordinary cars are shown.

Keywords:
Safety
sensors and virtual instrument
automotive
vibro-tactile stimuli
accidents prevention.
Referencias
[Beruscha et al., 2010]
Beruscha, F., Wang, L., Augsburg, K., Wandke, H., Do drivers steer toward or away from lateral directional vibrations at the steering wheel? Proc. 2nd European Conference on Human Centred Design for Intelligent Transport Systems, 227-236, 2010.
[Beruscha et al., 2011]
Beruscha, F., Augsburg, K., Manstetten, D., “Haptic warning signals at the steering wheel: A literature survey regarding lane departure warning systems”, Haptics-e, the electronic journal of haptic research, Vol 4, No. 5, 28-Mar-2011.
[Chun et al., 2010]
Chun, J., S. Oh, S.H. Han, G. Park, J. Seo, S. Choi, K. Han, W. Park. Evaluating the effectiveness of haptic feedback on a steering wheel for FCW. Proceedings of the 9th Pan-Pacific Conference on Ergonomics November 7-10, 2010 Kaohsiung Taiwan.
[Chun et al., 2011]
Chun, J., G. Park, S. Oh, J. Seo, I. Lee, S. Choi, S.H. Han, W. Park, “Development of Human Factors Design Guidelines for Haptic Collision Warning Systems,” In Proceedings of the IIE Asian Conference, pp. 249-254, 2011.
[Final report, 2007]
Final report NHTSA January 2007 N° HS 810 697. Crash Warning System Interfaces: Human Factors Insights and Lessons Learned.
[Hans. and Pacejka, 2006]
Hans. B. Pacejka, Tire and Vehicle Dynamics, second edition, ISBN-13: 980-0-7506-6918-4, Editorial Elsevier, 2006.
[Flores et al., 2011]
Flores, M., Armingol J. and Escalera, A., “Sistema Avanzado de Asistencia a la Conducción para la Detección de la Somnolencia”, Revista Iberoamericana de Automática e Informática Industrial, vol 08, Num. 03, doi: 10.1016/j.riai.2011.06.009, 2011.
[Ho and Spence, 2005]
Ho, C. and C. Spence, “Assessing the Effectiveness of Various Auditory Cues in Capturing a Driver's Visual Attention,” J. Experimental Psychology: Applied, vol. 11, pp. 157-174, 2005.
[Ho et al., 2005]
Ho, C., H.Z. Tan, C. Spence. Using spatial vibrotactile cues to direct visual attention in driving scenes. Transportation Research Part F 8 (2005) 397-412.
[Ho et al., 2006]
Ho, C., N.J. Reed, and C. Spence, “Assessing the Effectiveness of Intuitive Vibrotactile Warning Signals in Preventing Front-to-Rear-End Collisions in a Driving Simulator,” Accident Analysis and Prevention, vol. 38, pp. 989-997, 2006.
[Ho, 2008]
Ho, C. Haptic Interface for the Distracted Drivers. SICE Annual Conference 2008 August 20-22, 2008, The University Electro-Communications, Japan. Pages 890-893.
[Hwang and Ryu, 2010]
Hwang, S.; J. Ryu, “The Haptic steering Wheel: Vibro-tactile based navigation for the driving environment,” Pervasive Computing and Communications Workshops (PERCOM Workshops), 2010 8th IEEE International Conference on, pp.660-665, March 29-April 2, 2010.
[Jensen et al., 2011]
Jensen, J., A.M. Tolbert, J.R. Wagner, F.S. Switzer, and J. W. Finn. “A Customizable Automotive Steering System With a Haptic Feedback Control Strategy for Obstacle Avoidance Notification”. IEEE Transactions on Vehicular Technology, Vol. 60, N° 9, November 2011.
[Jiang and Delgrossi, 2008]
Jiang, D.; Delgrossi, L.;, “IEEE 802.11p: Towards an International Standard for Wireless Access in Vehicular Environments,” Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE, vol., no., pp.2036-2040, 11-14 May 2008.
[Koustanaï et al., 2012]
Koustanaï, A., V. Cavallo, P. Delhomme and A. Mas. Simulator Training with a Forward Collision Warning System: Effects on Driver-System Interactions and Driver Trust. doi:10.1177/0018720812441796. Human Factors: The Journal of the Human Factors and Ergonomics Society April 3, 2012.
[Lee et al., 2000]
Lee, J.D., M.L. Ries, D.V. McGehee, and T. L. Brown. “Can Collision Warning Systems Mitigate Distraction Due to In-Vehicle Devices?” May 2000, NHTSA.
[Miller, 2009]
Miller, S., “Social implications of automotive collision avoidance systems,” Technology and Society, 2009. ISTAS ‘09. IEEE Int. Symposium on, vol., no., pp.1-4, 18-20 May 2009.
[Momani, 2012]
Momani, M. Collision Avoiding System (CAS). Contemporary Engineering Sciences, Vol. 5, 2012, no. 7, 341-354.
[Muhrer et al., 2012]
Muhrer, Elke, Klaus Reinprecht and Mark Vollrath. Driving With a Partially Autonomous Forward Collision Warning System: How Do Drivers React? Human Factors and Ergonomics Society, SAGE journals, 2012.
[Ng et al., 2012]
Ng, Annie W.Y. and Alan H.S. Chan. Finger Response Times to Visual, Auditory and Tactile Modality Stimuli. IMECS 2012. Pages, March 14-16, 2012, Hong Kong.
[Nimmagadda et al., 2009]
Nimmagadda, P., Tkacik, P.T., Merrill, Z.A., and Kadire, N.R., Human Sensitivity in Forced Feedback Systems as a Function of Frequency and Amplitude of Steering Wheel Vibrations. SAE International, Technical paper N°09CV-0117, 2009.
[Parasuraman et al., 1997]
Parasuraman, R., P.A. Hancock and O. Olofinboba. Alarm effectiveness in driver-centered collision-warning systems. Ergonomics 1997, vol. 40 N°3, pp. 390-399.
[Ravani et al., 2011]
Ravani, B.; Gabibulayev, M.; Lasky, T.A., “Improvement of a Human- Machine Interface (HMI) for Driver Assistance Using an Event-Driven Prompting Display,” Control Systems Technology, IEEE Transactions on, vol.19, no.3, pp.622,627, May 2011.
[Rendon-Velez et al., 2009]
Rendon-Velez, E., I. Horvath, and E. Z. Opiyo. Progress with Situation Assessment and Risk Prediction in Advanced Driver Assistance Systems: A Survey. Proceedings of the 16th ITS World Congress, 2009.
[Ryu et al., 2010]
Ryu, J., J. Chun, G. Park, S. Choi, Member, and S. H. Han. Vibrotactile Feedback for Information Delivery in the Vehicle IEEE Transactions on Haptics, Vol. 3, N°. 2, April-June 2010.
[Sato et al., 1998]
Sato, K., T. Goto, Y. Kubota, Y. Amano, and K. Fukui, “A Study on a Lane Departure Warning System Using a Steering Torque as a Warning Signal”, Proc. Int’l Symp. Advanced Vehicle Control (AVEC ‘98), pp. 479-484, 1998.
[Seungbae Lee and Lim, 2012]
Seungbae Lee; Lim, A. “Reliability and performance of IEEE 802.11n for vehicle networks with multiple nodes,” Computing, Networking and Communications (ICNC), 2012 International Conference on, vol., no., pp.252-256, Jan. 30 2012-Feb. 2 2012.
[Spence and Ho, 2008]
Spence, C. and C. Ho, Tactile and Multisensory Spatial Warning Signals for Drivers, IEEE Transactions on Haptics, Vol. 1, N°. 2, July-December 2008.
[Sternberg, 1969]
Sternberg, S., The discovery of processing stages: Extention of Donders method. Acta Psychologica, 30, 276-315, 1969.
[Sternberg, 1975]
Sternberg, S., Memory scanning: New finding and current controversies, Quarter Journal of Experimental Psychology, 1975.
[Wellens et al., 2007]
Wellens, M.; Westphal, B.; Mahonen, P. “Performance Evaluation of IEEE 802.11-based WLANs in Vehicular Scenarios,” Vehicular Technology Conference, 2007. VTC2007-Spring. IEEE 65th, vol., no., pp.1167-1171, 22-25 April 2007.
[Wickens and Hollands, 0745]
Wickens, C.D., Hollands, J.G. Selection of an Action. (EDS) Engineering Psychology and Human Performance –3rd edition. Vol. 1, 2000, Prentence Hall, New Jersey 07458.
[Varma et al., 2012]
Varma, Abhi R., S.V. Arote, C. Bharti and K. Singh. “Accident Prevention Using Eye Blinking and Head Movement”. Emerging Trends in Computer Science and Information Technology (ETCSIT2012). Proceedings published in International Journal of Computer Applications (IJCA). Pages 18-22, 2012.

URL: www.inaut.unsj.edu.ar

Copyright © 2013. EA
Opciones de artículo
Herramientas