The NIEON Driver Benchmark and the Two-Sided Coin for AV safety
Waymo just published a study showing that they can outperform an unimpaired (NIEON) driver on a set of real-world crashes. That’s promising, but it’s only half the story. To be a safe driver, an Autonomous Vehicle (AV) must both not only be good — but also not be bad. Those are two different things. Let me explain…
Learning to drive includes learning how to drive well.
It also includes learning to avoid making avoidable mistakes. They’re not the same thing.
A Sept. 29, 2022 blog posting by Waymo explains their next step in showing that their automated driver can perform better than people at avoiding crashes. The approach is to recreate crashes that happened in the real world and show that their automated driver would have avoided them.
For this newest work they compare their driver to not just any human, but a Non-Impaired, with Eyes always ON the conflict (NIEON) driver. They correctly point out that no human is likely to be this good (you gotta blink, right?), but that’s OK. The point is to have an ideal upper bound on human performance, which is a good idea.
Setting a goal that to be acceptably safe an AV should be at least as good as a NIEON driver makes sense. It cuts out all the debate about which human driver is being used as a reference (e.g., a tired 16 year old vs. a well rested professional limo driver 50 year old will have very different driving risk exposure).
Unsurprisingly Waymo does better than a NIEON on scenarios they know they will be running, because computers can react more quickly than people when they correctly sense, detect, and model what is going on in the real world. Doing so is not trivial, to be sure. As Waymo describes, this involves not just good twitch reflexes, but also realizing when things are getting risky and slowing down to give other road users more space, etc.
That is the “be a good driver” part, and kudos to Waymo and other industry players who are making progress on this. This is the promise of AV safety in action.
But to be safe in the real world, that is not enough. You also have to not be a bad driver. Doing better at things humans mess up is half the picture. The other half is not making “stupid” mistakes that humans would likely avoid.
AVs will surely have crashes that would be unlikely for a human driver to experience. Or will sometimes fail to be cautious when they should, and so on. While this did not lead to crashes, the infamous Waymo ride video showing construction zone cone confusion shows there is more work to be done in getting AVs to handle unusual situations. To its credit, in that scenario the Waymo vehicle did not experience a crash. But other uncrewed AVs are in fact having crashes due to misjudging traffic situations. And an automated test truck crashed into a safety barrier despite having a human safety driver due to an ill-considered initialization strategy that at least some would consider a rookie mistake (e.g., repeats a type of mistake made in Grand Challenge events — should have known better).
It is good to see Waymo showing their automated driver can do well when it correctly interprets the situation it is in. That shows it is a potentially capable driver. We still need to see it is additionally not making mistakes in novel situations that aren’t part of the human driver crash dataset. If Waymo can show NIEON level safety in both the knowns and the unknowns, that will be an impressive achievement.
To read more on this topic, check out my book: How Safe is Safe Enough? Measuring and Predicting Autonomous Vehicle Safety
