There's plenty you could do if no label was produced with a sufficiently high confidence. These are continuous systems, so the idea of "rerunning" the model isn't that crazy, but you could pair that with an automatic decrease in speed to generate more frames, stop the whole vehicle (safely of course), divert path, and I'm sure plenty more an actual domain and subject matter expert might come up with--or a whole team of them. But while we're on the topic, it's not really right to even label these confidence intervals as such--they're just output weighting associated with respective levels. We've sort of decided they vaguely match up to something kind of sort approximate to confidence values but they aren't based on a ground truth like I'm understanding your comment to imply--they entirely derive out of the trained model weights and their confluence. Don't really have anywhere to go with that thought beyond the observation itself.