Last week, Tesla showed us more about how they test new Autopilot software by using a 'Shadow' mode where the new software decides what it would do, and it's compared to what a human or the old software do in that situation. The ability to do this on 500,000 cars is a strong asset for Tesla.
The view in the Tesla Simulator. Since Tesla uses cameras as the primary sensor, it tries to produce a realistic sceneFor some time, the biggest problem in robocars has been proving that you have done it -- that you have built a car that is safe enough to deploy. If you're making one, you must first convince yourself, along with your lawyers and board of directors, and you must convince the public. When you have accidents, you will need to convince the courts.
It's safe -- you can test dangerous situations you could never try in the real world, like pedestrians running in front of you or being in the middle of accidents It's software -- you can create complex failures of your simulated hardware, mixed in with every situation, and know how you deal with them.
Tesla visualizes their"shadow mode" where the test software drives the car on a different path than it drives in realityTesla's new hardware chip, which has vastly more processing power than the current generation they use, will allow them not only to run more complex neural networks in the autopilot. It also allows them to do more shadow testing, since it's easy to have more than one autopilot running at a time.
Waymo, on the other hand, may soon have a very large fleet on the road with much better sensors than Tesla has, so it will be able to do massive scale testing of this form in time. Uber also stated it ordered a fleet of 24,000 Volvos before their fatal crash shut them down. Uber and Lyft, like Tesla, have millions of customers willing to pay for the underlying cost of vehicles driving around if those vehicles can be suitably equipped.
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