SXSW
2 HN recommenders · recommended in 14 months, 2016–2018
52:22 · 144K views · Mar 12, 2016
Chris Urmson's SXSW 2016 talk on Google's self-driving car project, covering 1.3 million self-driven miles and the gap between hype and reality. It shows sensor visualizations and playbacks of hard situations the cars met, and discusses failures such as the low-speed bus collision.
HN returns to it repeatedly as one of the best candid talks on how a real self-driving system sees the road and where it struggles.
17 comments from Hacker News
On a related note, here's Chris Urmson's long talk at SXSW on how Google does automatic driving.[1] This is worth watching. He shows what Google cars sense and gives an overview of how they analyze the data. This is the first time Google has released this level of detail. If you're going to comment on automatic driving, you need to see this. Urmson goes into great detail on Google's 2mph collision with a bus. The sensor data from the Google car is shown. The video from the bus (it had cameras, too) is shown. Exactly what the software was trying to do is discussed. The assumptions the software made about what the bus driver would do are discussed. What they did to prevent this from happening again is mentioned. Most of the talk is about the hard cases. In the beginning, Google developed a highway driving system, but that was years ago. Now they're working hard on dealing with everything that can happen on a road, including someone in an electric wheelchair chasing ducks with a broom. [1] this video
That's Chris Urmson's talk at SXSW in 2016 [1], which has been widely viewed. It's one of the best talks on the subject. He said "How quickly can we get this into people's hands? If you read the papers, you see maybe it's three years, maybe it's thirty years. And I am here to tell you that honestly, it's a bit of both." Then he showed video of Google cars dealing with various challenging conditions. This included the famous scene where a Google self driving car encountered a woman in a powered wheelchair using a broom to chase a turkey. The software recognized this as something to avoid, even though it didn't classify it further. [1] this video
Except that Google was able to handle construction sites, traffic cones, and people directing traffic last year. Watch Urmson's video from SXSW.[1] Google has put a lot of effort into handling unusual situations. Those cars driving on residential streets in Mountain View and Austin have accumulated data on the hard cases. The California DMV continues to publish autonomous vehicle crash reports. The last one was in October.[2] A Google vehicle was rear-ended at 3mph when it was entering an intersection with poor visibility, detected cross-traffic, and stopped. I'm looking forward to the 2016 self-driving disengagement reports appearing on on the California DMV site.[3] Those were due January 1, covering the year ending 1 December 2016. Then we'll have comparative info on how all the players are doing. [1] this video [2] [LINK] [3] [LINK]
Compare Chris Urmson's SXSW talk from 2016 about Google's system.[1] Look carefully at the graphics which show what the sensors are detecting, and compare with Tesla's. Watch Urmson discuss hard cases, problems, and failures. Not seeing that with Tesla. Or Uber. Or Cruise. Or Otto. [1] this video
Watch Chris Urmson's self-driving car talk at SXSW 2016.[1] Especially the part where the Google car encounters someone in a powered wheelchair chasing a duck with a broom. Google can handle that. [1] this video