Self-Driving Car Trivia Questions

Companies use varied approaches—from deep learning (Waymo) to rule-based systems (Mobileye)—with no single standard AI architecture.

Snow obscures cameras and lidar, and hides lane markings, making it a major challenge for current autonomous systems.

The first autonomous car, the VaMoRs, was built in the 1980s but used rule-based algorithms, not neural networks, which came later.

Some systems may exceed speed limits slightly for safety, like merging onto highways, as rigid rule-following can cause hazards.

Many autonomous vehicles rely on cloud updates and V2X communication, making them vulnerable to cyberattacks if not secured.

Waymo reported over 20 million autonomous miles with no at-fault crashes, though they've had minor incidents caused by other drivers.

Some advanced lidar can measure tiny chest movements from a heartbeat, though it's not yet used in commercial systems for privacy reasons.

Stanford's Stanley in 2005 required a massive trunk-mounted computer cluster to process sensor data in real time.