Massachusetts Institute of Technology
Primary focus on automotive safety research using semi-autonomous driving features, HMI distractions, data collection
and analysis. I have experience building and integrating intelligent systems into Tesla, Ford, GM, Volvo, Toyota, Jaguar Land Rover, and Mercedes vehicles.
Some of our work has recently been featured in NPR news
Currently I am a teaching assistant for the MIT IAP course 6.S094 Deep Learing for Self-Driving Cars
Main work involved conceiving, prototyping, building, iterating and thoroughly
, Real-time Intelligent Driving Environment Recording System. RIDER is
a new compact low-cost automotive data logging platform to capture GPS,
Acceleration, Gyroscope, Magnetometer, Vehicle Telemetry Data throughout
differing data types including CANbus data - along with audio and four
HD video streams.
is currently employed in the MIT founded Advanced Vehicle Technologies
consortium - joined by research groups, automotive companies, tier 1 suppliers,
and insurance companies. AVT is researching drivers behavior using ADAS
and Level 2 automated driving systems. Currently 20 RIDER unit are out
in the field collecting every day naturalistic driving data.
utilizes a low cost single board computer, along with self designed and
The Knights of CANelot
I also manage our labs' fleet of research vehicles, from instrumentation
and conducting research studies to keeping up with oil changes and vehicle
University of Massachusetts - Amherst
Assisted Professor Joseph Goldstein’s lab research in artificially
forming Tetrataenite a highly magnetic phase of iron-nickel found
primarily in meteorites.
NeoGraft Technologies, Inc. Taunton, MA
Performed experiments collecting and evaluating data using scanning electron
microscopy and force testers on polycaprolactone biodegradable polymer
coatings on large animal model veins for coronary bypass surgery. Collaborated
with senior engineers in conceiving designs and building specialty electrical
and electromechanical assemblies to add functionality, value and analytical
capability to specific process instruments.
Comparing effectiveness and use of near-infrared (NIR) HD cameras
along with visible light cameras in vehicles for in-cab and exterior use.
Currently I am playing around with a mix of things...CAN hacking, optics
for cheap robust IR vision, behavior and function of ADAS system and autonomous
vehicles. Maybe some CVD stuff (the materials sci side of me).
If you're curious what I'm up to now, send me an email.
Below are some videos created by Lex Fridman
the RIDER system to capture all sensor data, then synchronized and processed through computer vision
algorithms to return the visual and quantitate result of the drivers, (my) gaze.
Car sync demo video
Thomas McWillams, Daniel E. Brown, Bryan Reimer, Bruce Mehler, and
Jonathan Dobres. “Observed Differences in Lane Departure Warning Responses during
Single-Task and Dual-Task Driving: A Secondary Analysis of Field Driving Data”. In
SAE Technical Papers
Irman Abdić, Lex Fridman, Erik Marchi, Daniel E. Brown, William Angell,
Bryan Reimer, and Björn Schüller. “Detecting Road Surface Wetness from
Audio: A Deep Learning Approach”. In
In IEEE International Conference on Pattern Recognition
Lex Fridman, Daniel E. Brown, William Angell, Irman Abdic, Bryan Reimer,
Hae Young Noh, "Automated Synchronization of Driving Data Using Vibration
and Steering Events", In
Pattern Recognition Letters
More info on Car Sync
Brown, D., Reimer, B., Mehler, B., & Dobres, J. An on-road study involving
two vehicles: observed differences between an auditory and haptic lane
departure warning system.
Proceedings of the 2015 International Conference on Automotive User Interfaces
and Interactive Vehicular Applications
, Nottingham, UK, September 1-3,