Part 5/12:
Tesla’s approach hinges on high-quality computer vision, leveraging massive amounts of data collected from a fleet of vehicles. This vast data engine allows Tesla to train highly capable vision-only systems, radically reducing costs and organizational complexity. Meanwhile, companies dependent on multi-sensor setups face substantial logistical hurdles—procurement, calibration, maintenance, and sensor fusion—all of which add layers of entropy and cost, diluting their focus and slowing development.