Humans have a bit more information than that -- tactile, proprioceptive and complex predictive models they can query (folk physics, theory of mind of other agen

Humans have a bit more information than that -- tactile, proprioceptive and complex predictive models they can query (folk physics, theory of mind of other agents, higher order knowledge of roads and places). But I agree, humans perform well despite not being particularly well adapted to driving. Given that, it would be foolhardy to proceed with vision and sound only because humans can get by with mostly just those. Better sensors push down the intelligence requirements for complex behavior. For example, insects as a group have a wider variety of sensors than any other group of organisms. With pin sized brains and milliwatt power, they forage, hunt, fly, walk and some even learn or communicate with an elaborate (combinatorial) language. Their array of specialized sensors plays a large role in allowing for their surprisingly rich sets of behavior. While I'm here, I'll also note that optical illusions are not things to get fooled by but instead, show the strength or assumptions of our predictive world models. Brains do not see the world as it is (see the checker shadow illusion and inattentive blindness), they predict based on, smooth, filter and adjust their inputs to more effectively act in the world. All inferential systems must have particular structural biases to do well in their target domain. In animals, between what was evolved and what is learned based on early environment; expectation and experience ends up top-down affecting what we see. It's very non-trivial -- many were surprised to learn for example, that even the "simple" retina receives inputs also from non-visual areas (and the details differ from species to species).