The future of computer-driven cars and deliverbots
I don't do a lot of podcasts, though am curious as to whether people prefer to hear them compared to reading things. They make more sense for debates or being interactive.
Nonetheless, here's one I did recently, hosted by a new organization called Pivot Factory. We covered some history and a lot of my favourite topics, and had a particular focus on the future of the city, which I write about here but haven't done a recent cohesive essay on.
A recent essay by Robbie Miller, who blew the whistle at Uber about their bad practices, accuses the industry at large of "safety theater" and driving too many unsafe miles. He's not wrong about some of his accusations, but there does need to be some risk taken. I outline the reasoning in this new Forbes.com article:
I'm back from another electric car road trip -- more later on that -- but here's a story where I provide a report from a Waymo One user on how he sold one of his family's two cars and replaced it with robotaxi service. He's an early adopter, but he helps us examine just what some of the issues are around getting people to do that.
This week I am at the Nvidia GPU Technology Conference, which has become a significant conference for machine learning, robots and robocars.
Here is my writeup on a couple of significant announcements from Nvidia -- a new simulation platform and a "safety force field" minder for robocar software, along with radar localization and Volvo parking projects.
Yesterday, it was announced the state attorney in Arizona will not press criminal charges against Uber around the fatality a year ago in Tempe. It is still not decided if charges will apply to the safety driver.
I have a Forbes.com piece on the nature of fault in the Uber crash:
Readers all know I love robocars and write about the tremendous effect they will have on our lives and cities. But a new technology, running about a decade behind but now real, is coming which could have even more dramatic effects, the e-VTOL or "flying car."
Of course, just after releasing my review of Tesla Autopilot they announced new pricing and features, with some explanation of what "full self drive" is.
For now, it turns out it's still driver assist, but on city streets. It's an interesting question if that's a good idea. I offer some additional analysis and updates.
Read my Update to Tesla Autopilot Review
We all love open source. But the usual rules of open source break down if every vehicle deployed on the road has to have gone through a complex and expensive safety certification process. You can't just download, patch and go.
So we need other solutions to allow the world of the tinkerer/hacker and the innovation and superior function it can provide.
Since the famous Trolley Problem has come up again recently thanks to the MIT Moral Machine, it's time for what seems to be an annual debunking of the notion.
This time, to illustrate the pithy headline above, I tell the story of why the hypothetical situation is even rarer than people imagine because of the way braking and steering systems are designed on robocars, and how their driving patterns will be designed to minimize risk.
I have written often about the new economies in transportation that future technology like robocars provide. In my research I've learned something that seems to not be well known in the transportation world -- that often, smaller is better and more energy efficient.
This week we've looked at two issues regarding robocars in the city:
California has released the disengagement reports the law requires companies to file and it's a lot of data. Also worth noting is Waymo's own blog post on their report where they report their miles per disengagement has improved from 5,600 to 11,000.