论文信息 - DRIVER MODELS TO I CREASE THE POTE TIAL OF AUTOMOTIVE ACTIVE SAFETY FU CTIO

DRIVER MODELS TO I CREASE THE POTE TIAL OF AUTOMOTIVE ACTIVE SAFETY FU CTIO

This paper describes how the potential of some automotive active safety functions depend on the used driver model. It is shown that by including a more advanced driver model, it is possible to enhance the use of the signals from different sensor systems to let the active safety function intervene earlier and smoother so that the drivers are disturbed less, and the chance to avoid an accident increases.

J. Sjöberg | E. Coelingh | M. Ali | M. Brännström | P. Falcone

[1] E. Coelingh,et al. A situation and threat assessment algorithm for a rear-end collision avoidance system , 2008, 2008 IEEE Intelligent Vehicles Symposium.

[2] Jonas Jansson,et al. Collision Avoidance Theory : with Application to Automotive Collision Mitigation , 2005 .

[3] H Godthelp,et al. Vehicle Control During Curve Driving , 1986, Human factors.

[4] Thomas A. Dingus,et al. An overview of the 100-car naturalistic study and findings , 2005 .

[5] Mohammad Ali,et al. Towards predictive yaw stability control , 2009, 2009 IEEE Intelligent Vehicles Symposium.

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

[7] Wolfgang Birk,et al. Collision warning with auto brake , 2006 .

[8] Jonas Sjöberg,et al. A PREDICTIVE APPROACH TO ROADWAY DEPARTURE PREVENTION , 2009 .

[9] Jonas Sjöberg,et al. Set-Based Threat Assessment in Lane Guidance Applications , 2010 .

[10] Kristian Kroschel,et al. A Multilevel Collision Mitigation Approach—Its Situation Assessment, Decision Making, and Performance Tradeoffs , 2006, IEEE Transactions on Intelligent Transportation Systems.

[11] Jonas Sjöberg,et al. Model-Based Threat Assessment for Avoiding Arbitrary Vehicle Collisions , 2010, IEEE Transactions on Intelligent Transportation Systems.