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

239 citations · 509 across the 10 of their papers we have counts for

collaborators

10 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.CV2019★ 2 cited

Object as Distribution

Li Ding, Lex Fridman

Object detection is a critical part of visual scene understanding. The representation of the object in the detection task has important implications on the efficiency and feasibili…

cs.HC2019★ 3 cited

Hacking Nonverbal Communication Between Pedestrians and Vehicles in Virtual Reality

Henri Schmidt, Jack Terwilliger, Dina AlAdawy +1

We use an immersive virtual reality environment to explore the intricate social cues that underlie non-verbal communication involved in a pedestrian's crossing decision. We "hack"…

cs.AI2018★ 26 cited

Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy

Lex Fridman

Building effective, enjoyable, and safe autonomous vehicles is a lot harder than has historically been considered. The reason is that, simply put, an autonomous vehicle must intera…

cs.IT2018

A Machine Learning Approach for Power Allocation in HetNets Considering QoS

Roohollah Amiri, Hani Mehrpouyan, Lex Fridman +3

There is an increase in usage of smaller cells or femtocells to improve performance and coverage of next-generation heterogeneous wireless networks (HetNets). However, the interfer…

cs.NE2018★ 38 cited

DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation

Lex Fridman, Jack Terwilliger, Benedikt Jenik

We present a traffic simulation named DeepTraffic where the planning systems for a subset of the vehicles are handled by a neural network as part of a model-free, off-policy reinfo…

cs.CY2017★ 239 cited

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.NE2017★ 10 cited

SideEye: A Generative Neural Network Based Simulator of Human Peripheral Vision

Lex Fridman, Benedikt Jenik, Shaiyan Keshvari +3

Foveal vision makes up less than 1% of the visual field. The other 99% is peripheral vision. Precisely what human beings see in the periphery is both obvious and mysterious in that…

cs.IT2015

On the joint impact of bias and power control on downlink spectral efficiency in cellular networks

Lex Fridman, Jeffrey Wildman, Steven Weber

Cell biasing and downlink transmit power are two controls that may be used to improve the spectral efficiency of cellular networks. With cell biasing, each mobile user associates w…

cs.CR2015★ 176 cited

Active Authentication on Mobile Devices via Stylometry, Application Usage, Web Browsing, and GPS Location

Lex Fridman, Steven Weber, Rachel Greenstadt +1

Active authentication is the problem of continuously verifying the identity of a person based on behavioral aspects of their interaction with a computing device. In this study, we…