3 papers
cs.CY2017
MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation
Lex Fridman, Daniel E. Brown, Michael Glazer +15
For the foreseeble future, human beings will likely remain an integral part of the driving task, monitoring the AI system as it performs anywhere from just over 0% to just under 10…
cs.LG2015
Detecting Road Surface Wetness from Audio: A Deep Learning Approach
Irman Abdić, Lex Fridman, Erik Marchi +4
We introduce a recurrent neural network architecture for automated road surface wetness detection from audio of tire-surface interaction. The robustness of our approach is evaluate…
cs.RO2015
Automated Synchronization of Driving Data Using Vibration and Steering Events
Lex Fridman, Daniel E Brown, William Angell +3
We propose a method for automated synchronization of vehicle sensors useful for the study of multi-modal driver behavior and for the design of advanced driver assistance systems. M…