Assuming that equipped software and hardward work decently. It has hundreds of sensors that can "see" much more than human and thus, making the calculation for any decision making is much more accurate.
Assuming that equipped software and hardward work decently. It has hundreds of sensors that can "see" much more than human and thus, making the calculation for any decision making is much more accurate.
This document shows that the Tesla autopilot fails a simple test. If you drive the car on autopilot, behind another car, and the other car shifts out of the lane because there is a parked car in front of it, they report that the Tesla will hit the parked car. It also has a good list with links of Tesla autopilot crashes. https://jalopnik.com/this-test-shows-why-tesla-autopilot-crashes-keep-happen-1826810902
The problem is not the number of sensors but the understanding of what's going on. Vision systems have a hard time with rare events avoiding false positives where they panic unnecessarily because the sensors catch sight of a street sign or something so they tend to ignore such circumstances. But sometimes there is really a pedestrian or a parked car.
Here's another example where the Tesla autopilot drove over 100 Meters of traffic cones before slamming into a cop car. https://www.zerohedge.com/news/2018-12-12/tesla-autopilot-slams-police-car-despite-100-meters-traffic-cones-and-warning-0 it also talks about how when Musk was on 60 minutes, the autopilot made an apparently illegal lane change.
