Tesla doesn't want to use LIDAR. So they are hoping for success in a technique known as pseudo-LIDAR, where you train neural networks to look at images and calculate the distance to everything in the scene, as though you had a LIDAR. It's not here yet, but an interesting question is, should this succeed, is it better for Tesla or for their LIDAR using competitors who already have tons of experience using 3D point clouds?
Uber, Lyft, Scooters and Transit have all cratered in ridership. Will people be more likely to ride in self-driving taxis if they had them during a pandemic crisis? I discuss some of the Covid-19 issues around robotaxis in this new article.
It's found at Can robotaxis survive a pandemic?
The projected deaths for Covid-19 in the USA are horrific -- 100,000 to 240,000. Let's hope it's not nearly that bad, but those numbers are enough that they actually could alter the election. Not simply because Covid-19 will be the top issue in the election, but because voters will die.
Recently, Stefan Seltz-Axmacher, the founder of Starsky Robotics -- a startup doing self-driving and remove-driven transport trucks that I advised before they started going -- wrote a detailed and complex blog post about why he feels his company had to shut down. He goes into several issues, including failures of Deep Learning to meet hype, VC desires, strangeness of the trucking industry and lack of love for safety.
In my new article for the Forbes site, I dig into those reasons and whether he's right that nobody else will succeed soon, either.
In some discussion, I have seen it become almost an assumption that the economic meltdown and the Covid crisis will erode confidence in the President and settle the election, presuming things continue to November as they likely will. Historical patterns suggest that Presidents with good economies and stock markets get elected, those without them don't. We're seeing economic meltdown, high unemployment, fear and more.
I've been involved with delivery robots for a long time, and on my walk through empty streets yesterday, I noticed a certain irony. We have a desperate need for more delivery capacity, especially without humans handling packages, and teams have been working hard to make deliverbots safe enough to drive on our streets.
It is possible if, among the swing states, Trump wins Florida, Pennsylvania, North Carolina and the Nebraska 2nd (Omaha), while Biden wins Michigan, Arizona and Wisconsin. This is not one of the most likely scenarios, because Arizona and Wisconsin are currently more on Trump's side than Biden's, but it's possible.
If we shut down public areas, we're going to need a lot of online shopping and home delivery. How can we do that in a virus-infected world? Here's some plans for how to make it happen even with gig workers (who aren't driving Uber and Lyft much any more.)
I outline some of the ways to make it work in this Forbes.com article.
As LAX and other airports push ride-hail to remote lots (which you have to take a shuttle to in the case of LAX-it) I examine why that's a crazy decision in my new article at Forbes.com. In the article I also touch on how we can eventually move to being picked up, not at the curb, but at the plane, in an airport with lots of robocar pods.
An EasyMile made a sudden stop from 7mph and a seated passenger fell off her seat to minor injuries. Now NHTSA has ordered EasyMile to stop testing with passengers.
Transit shuttles don't usually have seatbelts, but maybe EasyMile needs them during the testing phase. But can it ever take them out?
This weekend I went to the finals of the GoFly prize, a Boeing sponsored contest for personal VTOL flying machines. Sadly, nobody was able to build one that could meet all the requirements in the rules, and only a few of the contestants could even fly. That was disappointing, but then so was the first Darpa Grand Challenge.
The California robocar disengagement reports are out. And everybody is now pointing out that they're not very useful because everybody uses different methods. So I have an article about what we do learn from the data, little as it is.
Read California Disengagement Reports aren't too engaging at Forbes.com