ADAS and Driver Modeling

The CAOS lab specializes in the applications of machine learning and big data technologies in different fields of Intelligent Transport Systems. We also have a long experience in working with simulation environments for driving tasks.

RESEARCH LINES

CAOS research lines in ADAS & Driver Modeling are the following:

• Intelligent ADAS Development
• Driver Monitoring and Modeling
• Simulation environments and cars simulation

PUBLICATION SUMMARY

• Sipele, O., Zamora, V., Ledezma, A., and Sanchis, A. (2016). Testing ADAS though simulated driving situations analysis: environment configuration. Proceedings of the first symposium SEGVAUTO-TRIES-CM. Technologies for a safe, accessible and Sustainable Mobility, pp. 23-26 November.
• Zamora, V., Sipele, O., Ledezma, A., and Sanchis, A. (2016). Integrating real driving routes in a simulated environment. Proceedings of the first symposium SEGVAUTO-TRIES-CM. Technologies for a safe, accessible and Sustainable Mobility, pp. 27-30 November.
• “Simul-A2: Agent-based simulator for evaluate ADA systems”, Vernaza, Ariel; Ledezma, Agapito; Sanchis, Araceli, Information Fusion (FUSION), 2014 17th International Conference on , vol., no., pp.1,8, 7-10 July 2014. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6916186&queryText%3Dsimul+a2.
• “Agent-based framework for Advanced Driver Assistance Systems in urban environments”, Gutierrez, German; Iglesias, Jose Antonio; Ordonez, Francisco Javier; Ledezma, Agapito; Sanchis, Araceli, Information Fusion (FUSION), 2014 17th International Conference on , vol., no., pp.1,8, 7-10 July 2014,
• “Controller for TORCS created by imitation”. Jorge Muñoz, German Gutierrez, and Araceli Sanchis. In IEEE Symposium on Computational Intelligence and Games. (CIG 2009), pages 271-278, Politecnico di Milano, Milano, Italy, September 7-10th 2009.

RESEARCH PROJECTS

• Sistema de Ayuda para una Conducción Urbana más Segura. Reference: TRA2015-63708-R. (January 2016 – December 2018)
• Integración de sistemas cooperativos para vehículos autónomos en tráfico compartido: Análisis del entorno de conducción, CAV. Reference: TRA2016-78886-C3-1-R. (January 2017 – December 2019).
• Sistema Avanzado de Asistencia a la Conducción para Entornos Interurbanos: Percepción del Entorno y Simulación. Reference: TRA2013-48314-C3-1-R. (January 2014 – December 2016).
• Intelligent Agent-Based Driver Decision Support. Reference: TRA2011-29454-C03-03. (January 2012 – June 2015).
• Sistema Inteligente de Ayuda a la Conducción basado en Agentes. Reference: TRA2010-21371-C03-03 (January 2012 – December 2014).
• Sistema Avanzado de Asistencia a la Conducción para Entornos Urbanos: Inteligencia Artificial. Reference: TRA2004-07441-C03-02/IA. (January 2004 – December 2007).
• MCTIS- Múltiples Clasificadores en el Tratamiento Inteligente de Señales de Tráfico. Comunidad de Madrid y Universidad Carlos III de Madrid (January 2007 – December 2007).

VIDEOS

• Test of the Route Management Module in the simulator (.avi)
• Test of the Alarms Module in the simulator (.avi)

RELATED LINKS

• Survey for defining dangerous situations in urban driving (.pdf)
• Survey results (.csv – only in Spanish)