Lex Fridman

affiliation not provided to SSRN

SCHOLARLY PAPERS

9

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Scholarly Papers (9)

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1.

Distinguishing Patterns in Drivers’ Visual Attention Allocation Using Hidden Markov Models

MIT Center for Transportation & Logistics Research Paper No. 2016/006, Transportation Research Part F: Traffic Psychology and Behaviour, volume 43, 2016[10.1016/j.trf.2016.09.015]
Posted: 28 Apr 2025
Mauricio Muñoz, Bryan Reimer, Joonbum Lee, Bruce Mehler and Lex Fridman
affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and affiliation not provided to SSRN

Abstract:

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Driving, Glance, Machine learning, Time series

2.

Automated Synchronization of Driving Data Using Vibration and Steering Events

MIT Center for Transportation & Logistics Research Paper No. 2016/007, Pattern Recognition Letters, volume 75, 2016[10.1016/j.patrec.2016.02.011]
Posted: 28 Apr 2025
Lex Fridman, Daniel E. Brown, William Angell, Irman Abdic, Bryan Reimer and Hae Young Noh
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and Stanford University

Abstract:

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Cross correlation, On-road driving data, Optical flow

3.

Driver Gaze Region Estimation Without Use of Eye Movement

MIT Center for Transportation & Logistics Research Paper No. 2016/001, IEEE Intelligent Systems, volume 31, issue 3, 2016[10.1109/MIS.2016.47]
Posted: 28 Apr 2025
Lex Fridman, Philipp Langhans, Joonbum Lee and Bryan Reimer
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

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driver assistance systems, driver distraction, gaze classification

4.

Linking the Detection Response Task and the Attend Algorithm Through Assessment of Human-Machine Interface Workload

MIT Center for Transportation & Logistics Research Paper No. 2017/025, Transportation Research Record: Journal of the Transportation Research Board, volume 2663, issue 1, 2017[10.3141/2663-11]
Posted: 28 Apr 2025
Joonbum Lee, Ben D. Sawyer, Bruce Mehler, Linda Angell, Bobbie Seppelt, Sean Seaman, Lex Fridman and Bryan Reimer
affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

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5.

Predicting Road Scenes from Brief Views of Driving Video

MIT Center for Transportation & Logistics Research Paper No. 2019/017, Journal of Vision, volume 19, issue 5, 2019[10.1167/19.5.8]
Posted: 28 Apr 2025
Benjamin Wolfe, Lex Fridman, Anna Kosovicheva, Bobbie Seppelt, Bruce Mehler, Bryan Reimer and Ruth Rosenholtz
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and affiliation not provided to SSRN

Abstract:

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Driving, Prediction, Scene perception, Visual attention

6.

Mit-Avt Clustered Driving Scene Dataset: Evaluating Perception Systems in Real-World Naturalistic Driving Scenarios

MIT Center for Transportation & Logistics Research Paper No. 2020/026
Posted: 28 Apr 2025
Li DIng, Michael Glazer, Meng Wang, Bruce Mehler, Bryan Reimer and Lex Fridman
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and affiliation not provided to SSRN

Abstract:

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clustering and outlier detection, large-scale dataset, naturalist driving

7.

What Can Be Predicted from Six Seconds of Driver Glances?

MIT Center for Transportation & Logistics Research Paper No. 2017/012
Posted: 28 Apr 2025
Lex Fridman, Heishiro Toyoda, Sean Seaman, Bobbie Seppelt, Linda Angell, Joonbum Lee, Bruce Mehler and Bryan Reimer
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

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Driver state prediction, Gaze patterns, Hidden Markov models

8.

Value of Temporal Dynamics Information in Driving Scene Segmentation

MIT Center for Transportation & Logistics Research Paper No. 2022/007, IEEE Transactions on Intelligent Vehicles, volume 7, issue 1, 2022[10.1109/TIV.2021.3094836]
Posted: 25 Apr 2025
Li DIng, Jack Terwilliger, Rini Sherony, Bryan Reimer and Lex Fridman
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and affiliation not provided to SSRN

Abstract:

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Autonomous vehicles, Computer vision, Image segmentation, Neural networks

9.

Clera: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild

MIT Center for Transportation & Logistics Research Paper No. 2023/028, ACM Transactions on Computer-Human Interaction, volume 30, issue 6, 2023[10.1145/3603622]
Posted: 25 Apr 2025
Li DIng, Jack Terwilliger, Aishni Parab, Meng Wang, Lex Fridman, Bruce Mehler and Bryan Reimer
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

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cognitive load estimation, computer vision, driver monitoring systems