It's not really a sensor issue, as much as having software that can interpret the sensor data and act on it. Cameras and lidar effectively provide same thing, distance to objects in 2d/3d. But u need software to process that data and identify where the road is, where little jonny is, and what to do...arguably, the distance measuring problem has been solved for a while with lidar or with cameras, it's object identification and reaction to that info that's not solved. You can't really solve it with traditional if/else programming, while AI gives you only a probability of what something is or what action to do...so the problem is hard.

But ntsb/dmv whatever needs to come up with a way to test and classify autonomous driving software...probably doing real world test and identifying edge cases where it fails.