Daniel E. Brown

According to our database, Daniel E. Brown authored at least 6 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation.

Lex Fridman, Daniel E. Brown, Michael Glazer, William Angell, Spencer Dodd, Benedikt Jenik, Jack Terwilliger, Aleksandr Patsekin, Julia Kindelsberger, Li Ding, Sean Seaman, Alea Mehler, Andrew Sipperley, Anthony Pettinato, Bobbie D. Seppelt, Linda Angell, Bruce Mehler, Bryan Reimer

IEEE Access, 2019

2017

MIT Autonomous Vehicle Technology Study: Large-Scale Deep Learning Based Analysis of Driver Behavior and Interaction with Automation.

Lex Fridman, Daniel E. Brown, Michael Glazer, William Angell, Spencer Dodd, Benedikt Jenik, Jack Terwilliger, Julia Kindelsberger, Li Ding, Sean Seaman, Hillary Abraham, Alea Mehler, Andrew Sipperley, Anthony Pettinato, Bobbie Seppelt, Linda Angell, Bruce Mehler, Bryan Reimer

CoRR, 2017

2016

Automated synchronization of driving data using vibration and steering events.

Lex Fridman, Daniel E. Brown, William Angell, Irman Abdic, Bryan Reimer, Hae Young Noh

Pattern Recognit. Lett., 2016

Detecting road surface wetness from audio: A deep learning approach.

Irman Abdic, Lex Fridman, Daniel E. Brown, William Angell, Bryan Reimer, Erik Marchi, Björn W. Schuller

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Detecting Road Surface Wetness from Audio: A Deep Learning Approach.

Irman Abdic, Lex Fridman, Erik Marchi, Daniel E. Brown, William Angell, Bryan Reimer

CoRR, 2015

An on-road study involving two vehicles: observed differences between an auditory and haptic lane departure warning system.

Daniel E. Brown, Bryan Reimer, Bruce Mehler, Jonathan Dobres

Proceedings of the Adjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2015