Lex Fridman's 2019 MIT lecture surveying the state of self-driving cars, key players, sensor tradeoffs, and human-centered autonomy.

Lex Fridman — MIT researcher and lecturer on deep learning and autonomous vehicles, leading the MIT Human-Centered Autonomous Vehicle group.
In this solo MIT lecture, Lex Fridman reviews the 2018 landscape of autonomous vehicles and lays out the state of the art heading into 2019. He contrasts the two dominant strategies: Waymo's fully autonomous, LIDAR-and-mapping approach (10 million miles) versus Tesla's semi-autonomous, camera-and-deep-learning Autopilot approach (one billion miles). He argues the field underestimates how hard driving is and overestimates how bad humans are at it, drawing on his group's data from instrumented Tesla vehicles. He surveys deployment models, sensor fusion tradeoffs (camera, LIDAR, radar, ultrasonic), industry predictions, and emphasizes that adoption will hinge on human experience, not just safety.