You said car, not image classifier.

If errors in any subsystem surface out to the car, well then okay. But it's not unlikely that the overall system would deal with an error in the image classifier.

Pay wall so I can’t read the article. But can someone comment on what 0.001% error means in real world scenarios?

To keep the maths easy, that’s 18 wrong frames/10min. So roughly 2/3 of a second.

If these images are spread out, maybe it’s fine. If it’s failing on certain types of images, then those images could be grouped and 2/3rds of a second is more than enough time for a serious failure.

Don't forget - the error might be reproduce-able. As in, it will error rarely, but at that one obstacle, with that one light config, it will error repeatedly and constantly.

AI related car accidents and deaths will have special places and dates, were they will repeat annually.