activity
20152023
most citedMIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation

239 citations · 427 across the 13 of their papers we have counts for

collaborators

18 papers

cs.HC2023★ 15 cited

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…

cs.CV2020

Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects

Sandipan Banerjee, Ajjen Joshi, Jay Turcot +2

Distracted drivers are dangerous drivers. Equipping advanced driver assistance systems (ADAS) with the ability to detect driver distraction can help prevent accidents and improve d…

cs.HC2019

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…

cs.HC2019

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…

cs.CV2019★ 5 cited

Value of Temporal Dynamics Information in Driving Scene Segmentation

Li Ding, Jack Terwilliger, Rini Sherony +2

Semantic scene segmentation has primarily been addressed by forming representations of single images both with supervised and unsupervised methods. The problem of semantic segmenta…

cs.HC2019

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…