>> Movies are filmed at 27fps so the reasoning is humans have high confidence that they aren't missing any significant information between the frames, it should possible to make a 'mental model' of a road scene at the same fps to human skill level.
I hope there is a better, more technical explanation that ML researchers are using, because as someone who is somewhat of an expert on human vision and building products around it, this foundation is godawful if it is to be taken at face value. Which again, I am sure this is a simplification. Or at least, that's what I am telling myself.
This whole driverless car thing reeks of more vaporware, more public-yet-profitless unicorn companies promising to promise to change the world and aside from surface level consideration of edge case accidents with pedestrians (hasn't one of them already killed or seriously injured a pedestrian??) there isn't much deep talk about less straightforward issues such as (former) members of the trucking industry sabotaging these new fleets or how liability and insurance is REALLY going to work out.
File the promises and the problems under fiction because it appears to be more important to keep the world order, its financial system and these ridiculous media darling fluff piece corporations alive while they bleed money.
And no, im not closed to the idea of successful work being done on automated driving but 30 fps, WTF? too much going on in the larger context of the world, this shit isn't happening in 2020 or 2024 or whatever else many might say.
Look at it this way: human ability to act is (for elite gamers) 300 actions per minute. That's 5fps. So with 30fps the AI could theoretically already have 1/6th the latency of the most-responsive human drivers
They are not actually responding at 300 actions per minute to changing input, a large percentage of those clicks are constant selections of team shortcuts.
This is even worse. Humans do not process 300 APM. They merely are limited physically to outputting 300 APM. You have no idea what the brain's capacity to process and analyze information that led to the output of 300 APM. If you think 5 FPS is the capacity of the brain's ability to process vision... well, don't make a driverless car, please.
We move and react slowly but we respond to info which comes at a much higher rate. I can notice the individual frames at 5 FPS. I know I'm not getting enough info.
I hope there is a better, more technical explanation that ML researchers are using, because as someone who is somewhat of an expert on human vision and building products around it, this foundation is godawful if it is to be taken at face value. Which again, I am sure this is a simplification. Or at least, that's what I am telling myself.