The future of autonomous driving presents a fundamental question: should self-driving cars rely solely on camera-based vision, akin to human perception, or integrate a broader suite of sensors including LiDAR and radar? This ongoing debate is famously highlighted by Elon Musk's sarcastic dismissal of LiDAR as a "fool's errand" and a "crutch," emphasizing its high cost and perceived unnecessary complexity. Is Tesla's bold bet on achieving "superb, near-perfect" computer vision with camera-only systems the definitive path to a scalable and affordable autonomous future, or does it inherently limit safety and reliability?