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Driver State Modeling through Latent Variable State Space Framework in the Wild Fig 3 The two latent variable model Note that in contrast with this model, in the base model, the two latent variables are identical In this model a set of perturbations (i e , number of road users, and hand movement shown with black) is connected to a set of latent variables (i e , stress level and work load shown with blue) estimated
My title - EPFL Exploring driving behavior as a latent variable in safety modeling A preliminary analysis from a driving simulator study Driver behavior, among other factors, plays an important role in road safety
Driver Persistence, Safety and Older Adult Self-efficacy: Addressing Driving . . . The driving assistance system reconciles the ostensible conflict between (1) ensuring road safety and (2) promoting driver persistence The purpose of the driving assistance system is to interpret the implications of the driver’s state in terms of their ability to drive the car safely
Shareable Driving Style Learning and Analysis with a Hierarchical Latent Model Our insight is that driving behavior is a sequence of responses to the weighted mixture of latent driving styles that are shareable within and between individuals To this end, this paper develops a hierarchical latent model to learn the relationship between driving behavior and driving styles
Combining driving simulator and physiological sensor data in a latent variable model . . . The proposed hybrid models are calibrated using data collected 21 with the University of Leeds Driving Simulator where participants are deliberately subjected to 22 stress in the form of aggressive surrounding vehicles, slow leaders and or time pressure while 23 driving in a motorway setting