MIT Autonomous Vehicle Technology Study: Large-Scale Deep Learning Based Analysis of Driver Behavior and Interaction with Automation. - Lex Fridman 001; Daniel E. Brown; Michael Glazer; William Angell; Spencer Dodd; Benedikt Jenik; Jack Terwilliger; Julia Kindelsberger; Li Ding 010; Sean Seaman; Hillary Abraham; Alea Mehler; et al. (CoRR, 2017)

Designing Toward Minimalism in Vehicle HMI. - Julia Kindelsberger; Lex Fridman 001; Michael Glazer; Bryan Reimer (CoRR, 2018)

MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation. - Lex Fridman 001; Daniel E. Brown; Michael Glazer; William Angell; Spencer Dodd; Benedikt Jenik; Jack Terwilliger; Aleksandr Patsekin; Julia Kindelsberger; Li Ding 010; Sean Seaman; Alea Mehler; et al. (IEEE Access, 2019)

Eye Contact Between Pedestrians and Drivers. - Dina Aladawy; Michael Glazer; Jack Terwilliger; Henri Schmidt; Joshua E. Domeyer; Bruce Mehler; Bryan Reimer; Lex Fridman 001 (CoRR, 2019)

Dynamics of Pedestrian Crossing Decisions Based on Vehicle Trajectories in Large-Scale Simulated and Real-World Data. - Jack Terwilliger; Michael Glazer; Henri Schmidt; Joshua E. Domeyer; Heishiro Toyoda; Bruce Mehler; Bryan Reimer; Lex Fridman 001 (CoRR, 2019)

MIT-AVT Clustered Driving Scene Dataset: Evaluating Perception Systems in Real-World Naturalistic Driving Scenarios. - Li Ding 010; Michael Glazer; Meng Wang; Bruce Mehler; Bryan Reimer; Lex Fridman 001 (IV, 2020)

MIT DriveSeg (Semi-auto) Dataset. - Li Ding 010; Michael Glazer; Jack Terwilliger; Bryan Reimer; Lex Fridman 001 (IEEE DataPort, 2020)