Automated Driving - Taking the Human Factors Researcher out of the Loop
summary
Research group at the University of Nottingham studies real prototypes like mirrorless cars with interior camera screens and Rotterdam’s low‑speed magnetic park shuttle, evaluates SAE automation levels, and reports measurable problems: funded projects with OEMs and governments find driver takeovers take 15–40 second takeover delay, drivers become complacent, and machine learning misclassifications (Google car junction case) produce low‑speed crashes. Experiments use driving simulators, steering‑input measures and video to test reengagement strategies and trust effects.
AI-written summary · about
chapters (14)
- 0:00Start
- 2:12Human Factors Research Group
- 6:02Definitions
- 7:42Vehicle automation levels
- 9:35Assisted
- 10:52Partial automation
- 11:51Conditional automation
- 12:45High automation
- 14:01Vehicle automation state-of-the-art
- 26:55Humans in vehicles
- 29:29Humans outside of vehicles
- 31:03Traffic environment
- 36:26Artificial Intelligence
- 40:46Take aways
related talks
21mAutonomous driving and handling the handover
21mFuture in Motion: Robotics, Self-Driving Cars, and Humanoids Shaping Tomorrow
33mHuman-Like Behavior in Autonomous Systems
27mPreparing for the Autonomous Vehicle Era
04mDigital Revolution & Industry 4.0: Robotics, Self-Driving Cars & Software Testers
26mAutonomy – The Era of Vehicles Without Drivers
05mInterview
32mIntelligent Intersections