> I often have pedestrians walk towards the street and I assume they will stop so I don't slow down
> the self-driving system software classified the pedestrian as an unknown object, as a vehicle, and then as a bicycle with varying expectations of future travel path
Little different, huh? If you see something that looks like it might be in your way, and you aren't sure what it is, you just keep going?
And if I see a pedestrian in the middle of the road at a random spot, especially at night, I'm slowing down since I don't know WTF they're thinking. Or if I'm in a neighborhood with regular street crossings carved out of the sidewalk and someone's coming up to one of those - I don't know how well they're paying attention to their surroundings.
I can tell pretty quickly if something is pedestrian or a bicycle and plan accordingly. In addition I can tell where the pedestrian is looking. Sometimes I slow down, sometimes I don't depending on how I assess the situation.
I think it comes down to the fact that the classification algorithms are not ready for primetime.
> the self-driving system software classified the pedestrian as an unknown object, as a vehicle, and then as a bicycle with varying expectations of future travel path
Little different, huh? If you see something that looks like it might be in your way, and you aren't sure what it is, you just keep going?
And if I see a pedestrian in the middle of the road at a random spot, especially at night, I'm slowing down since I don't know WTF they're thinking. Or if I'm in a neighborhood with regular street crossings carved out of the sidewalk and someone's coming up to one of those - I don't know how well they're paying attention to their surroundings.