Self-driving cars are often marketed as safer than human drivers, but new data suggests that may not always be the case.
Citing data from the National Highway Traffic Safety Administration (NHTSA), Electrek reports that Tesla disclosed five new crashes involving its robotaxi fleet in Austin. The new data raises concerns about how safe Tesla’s systems really are compared to the average driver.
The incidents included a collision with a fixed object at 17 miles per hour, a crash with a bus while the Tesla vehicle was stopped, a crash with a truck at four miles per hour, and two cases where Tesla vehicles backed into fixed objects at low speeds.
And, we humans have built-in binocular vision that we’ve been training for at least 1.5 decades by the time we’re allowed to drive.
Also, think about what you do in that situation where there’s a weird shadow. Slow down, sure. But, also move our heads up and down, side to side, trying to use that powerful binocular vision to get different angles on that strange shadow. How many front-facing cameras does Tesla have. Maybe 3, and one of those is mounted on the bumper? In theory, 3 cameras could give it 3 different “viewpoints” for binocular vision. But, that’s not as good as a human driver who can shift their eyes around to multiple points to examine a situation. And, if one of those 3 cameras is obscured (say the one on the bumper) you’re down to basic binocular vision without even the ability to take a look from a different angle.
Plus, we have evidence that Tesla isn’t even able to use its cameras to achieve binocular vision. If it worked, it shouldn’t have fallen for the Wile E. Coyote trick.