A Fast Foveated Fully Convolutional Network Model for Human Peripheral Vision. - Lex Fridman 001; Benedikt Jenik; Shaiyan Keshvari; Bryan Reimer; Christoph Zetzsche; Ruth Rosenholtz (CoRR, 2017)

Arguing Machines: Perception-Control System Redundancy and Edge Case Discovery in Real-World Autonomous Driving. - Lex Fridman 001; Benedikt Jenik; Bryan Reimer (CoRR, 2017)

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)

DeepTraffic: Driving Fast through Dense Traffic with Deep Reinforcement Learning. - Lex Fridman 001; Benedikt Jenik; Jack Terwilliger (CoRR, 2018)

Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions. - Lex Fridman 001; Li Ding 010; Benedikt Jenik; Bryan Reimer (CVPR Workshops, 2019)

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)