Perhaps the biggest issue with the idea of a fully-self driving car is the limitations of current autonomous technology. While systems like Tesla’s Autopilot and Cadillac’s own Super Cruise are mostly capable of driving down highways without human intervention, come away from the main roads and they’re not so capable. American cities with grid-like infrastructure are relatively easy for developers to map, and most urban-focused development work has taken place in these environments. Google’s Waymo division, for example, launched its first autonomous driving service in Phoenix, Arizona, while Uber’s development program (and its fatal crash) took place in nearby Tempe, alongside a separate testing program in California.
However, look at cities in other parts of the world — notably, Europe and Asia — and cities tend to be more cramped, unpredictable, and difficult to navigate. If self-driving cars are to become viable, they’ll need to be able to navigate these packed urban environments with near-100% precision, and they simply can’t do that right now. Things get even trickier when you leave the city and get out into rural areas, as varied terrain, limited connectivity, and a whole new set of hazards present themselves. While today’s best autonomous systems might be good at dealing with a limited set of circumstances, they’re nowhere near being able to deal with everything that real-world driving might throw at them.
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