Experimental Design for Human-in-the-Loop Driving Simulations

This report describes a new experimental setup for human-in-the-loop simulations. A force feedback simulator with four axis motion has been setup for real-time driving experiments. The simulator will move to simulate the forces a driver feels while driving, which allows for a realistic experience for the driver. This setup allows for flexibility and control for the researcher in a realistic simulation environment. Experiments concerning driver distraction can also be carried out safely in this test bed, in addition to multi-agent experiments. All necessary code to run the simulator, the additional sensors, and the basic processing is available for use.

[1]  Jeffry Allen Greenberg,et al.  The Ford Driving Simulator , 1994 .

[2]  Francesco Borrelli,et al.  Stochastic predictive control for semi-autonomous vehicles with an uncertain driver model , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

[3]  A. Bemporad,et al.  Efficient on-line computation of constrained optimal control , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[4]  H. Berndt,et al.  Driver Braking Behavior during Intersection Approaches and Implications for Warning Strategies for Driver Assistant Systems , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[5]  Lars Petersson,et al.  Vision in and out of Vehicles , 2003, IEEE Intell. Syst..

[6]  Stanley N. Roscoe,et al.  Simulator Cockpit Motion and the Transfer of Initial Flight Training , 1975 .

[7]  Peter A. Hancock,et al.  Human Factors in Simulation and Training , 2008 .

[8]  J. A. Hartigan,et al.  A k-means clustering algorithm , 1979 .

[9]  Claire J. Tomlin,et al.  Guaranteed Safe Online Learning via Reachability: tracking a ground target using a quadrotor , 2012, 2012 IEEE International Conference on Robotics and Automation.

[10]  D Basacik,et al.  Scoping study of driver distraction , 2008 .

[11]  Lotta Jakobsson,et al.  Collision Warning with Auto Brake - A Real-Life Safety Perspective , 2007 .

[12]  J. Susman,et al.  Driven to Distraction , 1999, Science.

[13]  Miguel Ángel Sotelo,et al.  Real-time system for monitoring driver vigilance , 2004, Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005..

[14]  John D. Lee,et al.  Driver Distraction : Theory, Effects, and Mitigation , 2008 .

[15]  Osama Masoud,et al.  Vision-based methods for driver monitoring , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

[16]  Ruzena Bajcsy,et al.  Semiautonomous Vehicular Control Using Driver Modeling , 2014, IEEE Transactions on Intelligent Transportation Systems.

[17]  Ruzena Bajcsy,et al.  Safe semi-autonomous control with enhanced driver modeling , 2012, 2012 American Control Conference (ACC).

[18]  Maria E. Jabon,et al.  Facial expression analysis for predicting unsafe driving behavior , 2011, IEEE Pervasive Computing.

[19]  Baro Hyun,et al.  Discrete event modeling of heterogeneous human operator team in classification task , 2010, Proceedings of the 2010 American Control Conference.

[20]  Alberto L. Sangiovanni-Vincentelli,et al.  Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior , 2014, AAAI Spring Symposia.

[21]  R. Jafari,et al.  Body sensor networks for driver distraction identification , 2008, 2008 IEEE International Conference on Vehicular Electronics and Safety.

[22]  Huacai Xian,et al.  Driver Cognitive Distraction Detection Using Driving Performance Measures , 2012 .

[23]  Jan Theeuwes,et al.  Driving Simulator Validity: Some Considerations , 1996 .

[24]  Kemper Lewis,et al.  Experiential Learning in Vehicle Dynamics Education via Motion Simulation and Interactive Gaming , 2008, Int. J. Comput. Games Technol..

[25]  Mohan M. Trivedi,et al.  On-road prediction of driver's intent with multimodal sensory cues , 2011, IEEE Pervasive Computing.

[26]  Ruzena Bajcsy,et al.  Improved driver modeling for human-in-the-loop vehicular control , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).