Lex Fridman

Massachusetts Institute of Technology

H-index: 23

North America-United States

About Lex Fridman

Lex Fridman, With an exceptional h-index of 23 and a recent h-index of 20 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Artificial Intelligence, Deep Learning, Autonomous Vehicles, Human-Robot Interaction, Reinforcement Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

CLERA: a unified model for joint cognitive load and eye region analysis in the wild

Value of temporal dynamics information in driving scene segmentation

MIT DriveSeg (Semi-auto) Dataset: Large-scale Semiautomated Annotation of Semantic Driving Scenes

MIT driveseg (manual) dataset for dynamic driving scene segmentation

Mit-avt clustered driving scene dataset: Evaluating perception systems in real-world naturalistic driving scenarios

Lex Fridman Information

University	Massachusetts Institute of Technology
Position	___
Citations(all)	2774
Citations(since 2020)	2260
Cited By	1931
hIndex(all)	23
hIndex(since 2020)	20
i10Index(all)	37
i10Index(since 2020)	30
Email	Access Email
University Profile Page	Massachusetts Institute of Technology
Google Scholar	View Google Scholar Profile

Lex Fridman Skills & Research Interests

Artificial Intelligence

Deep Learning

Autonomous Vehicles

Human-Robot Interaction

Reinforcement Learning

Top articles of Lex Fridman

Title	Journal	Author(s)	Publication Date
CLERA: a unified model for joint cognitive load and eye region analysis in the wild	ACM Transactions on Computer-Human Interaction	Li Ding Jack Terwilliger Aishni Parab Meng Wang Lex Fridman ...	2023/9/25
Value of temporal dynamics information in driving scene segmentation	IEEE Transactions on Intelligent Vehicles	Li Ding Jack Terwilliger Rini Sherony Bryan Reimer Lex Fridman	2021/7/8
MIT DriveSeg (Semi-auto) Dataset: Large-scale Semiautomated Annotation of Semantic Driving Scenes	Massachusetts Institute of Technology AgeLab Technical Report	Li Ding Jack Terwilliger Rini Sherony Bryan Reimer Lex Fridman	2020
MIT driveseg (manual) dataset for dynamic driving scene segmentation	Tech. Rep., Technical report, Massachusetts Institute of Technology	Li Ding Jack Terwilliger Rini Sherony Bryan Reimer Lex Fridman	2020
Mit-avt clustered driving scene dataset: Evaluating perception systems in real-world naturalistic driving scenarios		Li Ding Michael Glazer Meng Wang Bruce Mehler Bryan Reimer ...	2020/10/19