Driver Behavior and Situation Aware Brake Assistance for Intelligent Vehicles
- 2 April 2007
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Proceedings of the IEEE
- Vol. 95 (2), 374-387
- https://doi.org/10.1109/jproc.2006.888388
Abstract
This paper deals with the development of Human-Centric Intelligent Driver Assistance Systems. Rear-end collisions account for a large portion of traffic accidents. To help mitigate this problem, predictive braking systems and adaptive cruise control systems have been developed. However, these types of systems usually rely solely on the vehicle and vehicle surround sensors, either ignoring the human component of driving or learning the driver's control behavior using only these sensors. As with all human-computer interfaces, this has the potential to work against the driver, distract the driver further, or even annoy the driver so that the driver ignores or disables the system. It is, therefore, important to directly take the driver's intended actions into account when designing a driver assistance system. By using a probabilistic model for the system, warnings and preventative measures can be constructed based on varying levels of situational severity and driver attentiveness and intent. The research is based upon carefully conducted experimental trials involving a human subjects driving in natural manner and on typical freeways in the USA. The experiments, designed by inputs from cognitive scientist, were conducted in a specially designed instrumented vehicle to record important cues associated with driver's behavior, vehicle state, and vehicle surround in a synchronized manner. Quantitative results and analysis of the experimental trials are presented to show the feasibility and promise of this framework to predict the driver's intent to brake, the need for braking given the current situation, and at what level the driver should be warnedKeywords
This publication has 17 references indexed in Scilit:
- Lane-Change Detection Using a Computational Driver ModelHuman Factors: The Journal of the Human Factors and Ergonomics Society, 2007
- Multi-spectral and multi-perspective video arrays for driver body tracking and activity analysisComputer Vision and Image Understanding, 2007
- Modeling Driver Behavior in a Cognitive ArchitectureHuman Factors: The Journal of the Human Factors and Ergonomics Society, 2006
- Real-Time System for Monitoring Driver VigilanceIEEE Transactions on Intelligent Transportation Systems, 2006
- Central Interference in DrivingPsychological Science, 2006
- A Multitasking General Executive for Compound Continuous TasksCognitive Science, 2005
- Monte Carlo road safety reasoningPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Determining driver visual attention with one cameraIEEE Transactions on Intelligent Transportation Systems, 2003
- Designing human-centered automation: trade-offs in collision avoidance system designIEEE Transactions on Intelligent Transportation Systems, 2000
- 10.1162/15324430152748236Applied Physics Letters, 2000