Publications (9)
Dynamics of Pedestrian Crossing Decisions Based on Vehicle Trajectories in Large-Scale Simulated and Real-World Data
Jack Terwilliger, Michael Glazer, Henri Schmidt +5
Humans, as both pedestrians and drivers, generally skillfully navigate traffic intersections. Despite the uncertainty, danger, and the non-verbal nature of communication commonly f…
What Can Be Predicted from Six Seconds of Driver Glances?
Lex Fridman, Heishiro Toyoda, Sean Seaman +5
We consider a large dataset of real-world, on-road driving from a 100-car naturalistic study to explore the predictive power of driver glances and, specifically, to answer the foll…
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features
Meng Wang, Zach Noonan, Pnina Gershon +3
Understanding the context of crash occurrence in complex driving environments is essential for improving traffic safety and advancing automated driving. Previous studies have used…
To Walk or Not to Walk: Crowdsourced Assessment of External Vehicle-to-Pedestrian Displays
Lex Fridman, Bruce Mehler, Lei Xia +3
Researchers, technology reviewers, and governmental agencies have expressed concern that automation may necessitate the introduction of added displays to indicate vehicle intent in…
Eye Contact Between Pedestrians and Drivers
Dina AlAdawy, Michael Glazer, Jack Terwilliger +5
When asked, a majority of people believe that, as pedestrians, they make eye contact with the driver of an approaching vehicle when making their crossing decisions. This work prese…
CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild
Li Ding, Jack Terwilliger, Aishni Parab +4
Non-intrusive, real-time analysis of the dynamics of the eye region allows us to monitor humans' visual attention allocation and estimate their mental state during the performance…
A Description of a Subtask Dataset with Glances
B. D. Sawyer, Sean Seaman, Linda Angell +3
This paper describes a set of data made available that contains detailed subtask coding of interactions with several production vehicle human machine interfaces (HMIs) on open road…
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…
Investigating Drivers' Head and Glance Correspondence
Joonbum Lee, Mauricio Muñoz, Lex Fridman +3
The relationship between a driver's glance pattern and corresponding head rotation is highly complex due to its nonlinear dependence on the individual, task, and driving context. T…