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How California’s Self-Driving Cars Performed in 2017

By Steve Crowe | February 1, 2018

Waymo Self-Driving Cars

Waymo recently rolled out self-driving minivans in Arizona without human drivers. (Photo Credit: Waymo)

The California Department of Motor Vehicles (DMV) released its annual report about disengagements of self-driving cars. The report analyzed 19 self-driving car companies that were permitted to test on Calif.’s public roads between December 2016 to November 2017.

The companies operated 230 autonomous vehicles during the 12-month period, which is more than double from 2016. But the major takeaway, unsurprisingly, is that Waymo is leading the pack. The next closest competitor is Cruise, which is owned by GM, while all the other companies are playing in the minor leagues. Waymo and Cruise accounted for nearly 76% of all autonomous miles driven in Calif. during the reporting period.

Waymo self-driving cars continue to lead industry

Waymo drove 352,545 miles autonomously in Calif. during the timeframe, which is down significantly from the 635,868 miles it autonomously drove in 2016. Waymo wrote in a Medium post that, overall, its autonomous miles doubled in 2017 to nearly 2 million. So the reduction in Calif. miles is due to Waymo focusing more of its attention elsewhere – mainly Phoenix, where it hopes to launch an autonomous ride-hailing service later in 2018.

Waymo also had a significant reduction in disengagements at 63. Six of these disengagements occurred on highways. That comes out to one disengagement every 5,596 miles. In 2016, Waymo had one disengagement every 5,128 miles. Waymo’s best month was November 2017 when it autonomously drove 30,516.7 miles and experienced just one disengagement.

CA Self-Driving Cars Disengagements

Here’s the breakdown of what caused Waymo’s disengagements:

  • 19 were caused by a Waymo vehicle making an “unwanted maneuver”
  • 16 were caused a “perception discrepancy”
  • 13 were caused by a “hardware discrepancy”
  • 9 were caused by a “software discrepancy”
  • 5 were caused by an “incorrect behavior prediction of other traffic participants”
  • 1 was caused by “a recklessly behaving road user”

That means 98.4 percent of Waymo’s disengagements were due to technology failures. So, there’s still a ways to go. Waymo recently stopped publishing its monthly self-driving progress reports, and it said the DMV’s annual reports are not indicative of its overall testing program anymore.

Waymo’s performance proves its ready for the “thousands” of additional self-driving Chrysler Pacifica minivans it’s ordering. The company has been testing autonomous vehicles longer than any company and is the hands-down leader in the industry. As CEO John Krafcik said, “We’ve moved from research and development to operations and deployment.”

Those additional vehicles will help Waymo scale up, while everyone else plays catch-up.

GM Cruise self-driving cars a distant second

GM’s Cruise vehicles drove about a third less than Waymo, at 127,516 miles, but it still marked a 121,900-mile increase over 2016. Cruise reported 105 disengagements for an average of one disengagement every 1,214 miles.

The increased mileage has led to a number of accidents involving Cruise. For the reporting period, its autonomous vehicles were involved in 22 fender benders. That’s one crash for every 5,985 miles of testing. Not good. Cruise’s report to the DMV, unfortunately, doesn’t detail the accidents. Its fleet was involved in six accidents in September 2017 alone, but said none were its responsibility.

Self-Driving GM Cruise

A self-driving Chevrolet Bolt EV from GM/Cruise on the streets of San Francisco in November 2017. (Photo credit: REUTERS)

In Cruise’s report, you will notice that a lot of disengagements were caused by another “road user behaving poorly.” Interestingly, Cruise makes note of the difficulties that come with driving in San Francisco, which is where most of its mileage came from.

“We drive in San Francisco because it allows us to improve more quickly. Cities like San Francisco contain significantly more people, cars, and cyclists that our self-driving vehicles must be aware of at any given time. That makes San Francisco one of the hardest places to test a self-driving vehicle, and creates a rich environment for testing our object detection, prediction, and response functions. It also helps us validate our vehicles’ self-driving skills faster than testing in a suburban location alone. So, we drive here because by doing so we get better faster.”

Credit: The Robot Report

Other self-driving cars playing catch-up

Nissan finished third, but it’s not much to brag about. Nissan drove 5,007 miles and had 24 disengagements, meaning its vehicles disengaged every 208 miles. Zoox was fourth with a disengagement every 160 miles. Mercedes had the worst performance of the group. It experienced a disengagement almost every mile. Bosch didn’t do much better with a disengagement every 2-3 miles.

BMW, Ford, Honda, NIO, Tesla, Volkswagen and Wheego, while permitted to do so, did not conduct autonomous driving tests on California’s roads during the time period. Some of these companies, however, are testing on closed-courses in California and testing in other countries and states. The DMV report does not cover those tests.

Uber said Wednesday it will not be required to file a disengagement report until January 2019. After being forced to pull its cars off the road, Uber applied for and received a permit last spring to test in Calif.

Although federal regulators have yet to determine how safe autonomous vehicles must be before they are introduced in large numbers, disengagements in one way to measure reliability. And it looks like Waymo’s self-driving vehicles are hands down the most reliable on Calif. roads.

You may also like:


  • Robotics Industry Fundings, Acquisitions & IPOs: January 2018
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    Fleet Expansion Shows Waymo Lapping Self-Driving Competition

  • CES 2018: Robots, AI, Massive Data, Prodigious Plans

  • Bad robot: Will you trust your autonomous vehicle?

About The Author

Steve Crowe

Steve Crowe is Executive Editor, Robotics, WTWH Media, and chair of the Robotics Summit & Expo and RoboBusiness. He is also co-host of The Robot Report Podcast, the top-rated podcast for the robotics industry. He joined WTWH Media in January 2018 after spending four-plus years as Managing Editor of Robotics Trends Media. He can be reached at scrowe@wtwhmedia.com

Comments

  1. William K. says

    February 7, 2018 at 6:17 pm

    What I think is that the routes chosen must have been relatively easy, and had very well behaved traffic and perfect weather. In addition, probably all of the routes were picked so that Waymo’s programmed responses would work every time. The flaw in all computer driven car systems is that they can only do what they are programmed to do, which may not always be the right choice. Also, given that the San Francisco area is full of southern California drivers, it is not representative of any normal place at all. Also, probably all of the roads in all of the routes were in very good condition. Send it to southeastern Michigan and see how it works.

    Reply
  2. Plamen KS. says

    April 23, 2018 at 12:50 pm

    To William K.:
    All the things you talk about are probabilities. Yes, we can’t trust the things they say, but at least they’re facts and that’s all we can work with at the moment. You are speaking about 2 other things: 1st the programming part, 2nd that these vehicles are tested on routes in very good conditions. Regarding the 1st I think you’re not familiar with programming because the technological part is based on ML (Machine Learning), of course not only. This is not IF-THEN, where you have a given amount of rules and the programmer should give every simple solution/answer to every single problem. The technology is “learning” from everything around it just like a chess computer algorithm that can’t be beaten (if you know them), but a little bit more complex 😀 About the 2nd aspect, I will say that although this technology has been evolving in the past 10 years, it’s still in its beginning. This means that we should start from the places with the best conditions, where the technology has to cope with easy situations. And as the software learns more and technology progresses, time will come where severe conditions and self-driving vehicles will face each other.

    I am writing in order to give the readers both side of the equation.

    Reply

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