I’ve been thinking. I wonder if Tesla really does have the correct hardware to do FSD. Does as a 1280x960x36fps have enough resolution and speed to operate at 75mph? That’s 110 feet per second or 3 feet per frame. For safety reasons, the car has to take action in less than one second so it has a limited number of frames in which to take action. Less frames means more processing power and bandwidth required to get through all the neural net iterations. So, while big frame per second numbers look good, is it really good enough? Second question, is 1280x960 enough resolution? People see at significantly higher resolution and we can differentiate objects at further distances than a camera of this resolution. That means Tesla has less frames in which it even has a chance to identify a car coming at you in T intersection at 60-70mph. At 80m advertised side camera range (not a long way), a car coming at 70mph will reach you in about 2.6 seconds. That means the car has to analyze the situation, react, and make it past the perpendicular opposing lanes in 93 camera frames. Think of all the times where you had to gun it so you weren’t stuck at a T intersection for minutes. HW3 sounds like a big step along the way but I don’t get how the current camera setup can handle high speed differential situations in a variety of conditions when there are no stereo side cameras to assist in image processing. Can someone tell me how I’m wrong?