[jeromenerf]

> We want the automation to do what a human pilot would do. And that works with eyes.

Humans can’t really turn senses off, so they have coffee when driving. Touch and hearing are quite important to “read the road”. Equilibrium too.

[johnwalkr]

Humans work with much more than just eyes. We subconsciously move our heads in case of uncertainty in the stereo vision algorithm and have pretty good IMUs. And yet, everyone has the experience of wrongly focusing on a repeating vertical pattern (vertical blinds or coiled cord for example) and getting disoriented. And every experienced driver has experienced at least some of the following: a moment of glare from a wet road, driving into a sunset, snowy road with curves in flat lighting conditions, dirty windshield/headlights/backup camera.

All of those are challenging for humans and and probably even more challenging for computer vision with cameras only. But except for the last point, all are obviously improved by lidar.

[wnkrshm]

A good human driver also gauges the limits of their own experience and 'phase transitions' into a more cautious mode of driving.

Is that something the algos can do? Infer the familiarity of the situation?

[mgoetzke]

The planning absolutely should take that into account and it does somewhat already. When it is really tight for example, it can slow down to a crawl.

It should do that in many cases, wet roads, busses with open doors, busses in general maybe, blind corners (does that already to some degree), many people nearby etc.