Robocars

The future of computer-driven cars and deliverbots

Tesla Autopilot alleged failure makes you wonder about how they train it

Another Tesla car crash, allegedly on autopilot, teaches us something about how well (or not well) Tesla is doing with its claimed ability to use its fleet of cars to quickly learn to identify unusual obstacles and situations. Here, a Tesla on autopilot crashes into a tow truck sticking out into the right lane (injuring the Tesla driver.) The driver says it was on Autopilot but that he was distracted for a few seconds.

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How to not waste most of the public EV charging infrastructure

Over 60,000 EV charging stations have been installed in the US. But a huge number of them see fairly light use because they are not in the right place for the current generation of electric cars, and not for the coming self-driving ones.

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We need to stop talking about "car sharing" because it means two different things

At the Automated Vehicle Summit, and in may other places, one of the watchwords is "sharing." Everything is going to be great because robocar technology enables "sharing." Yet people use it to mean two different things -- taxi hailing and riding in groups -- and they don't really understand the real consequences of both.

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New evolution in safety thinking

I'm back from the AUVSI/TRB "Automated Vehicles Summit," this year in Orlando, Florida.

The opening session, kicked off by Chris Urmson of Aurora, was about current approaches to safety. In the various presentations, I noticed an evolution in thinking about safety, which I describe in this Forbes site article. We've moving away from incidents and miles and functional safety to operational safety and risk management.

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Cruise admits it will not deploy in 2019 -- is the "hard city first" strategy right?

It's not a big surprise, but Cruise has announced they will not meet their goal of deploying in 2019. Cruise says deploying in San Francisco is 40x harder than a place like Phoenix where Waymo is deploying, but that once they solve this harder problem, they will be the leader.

Is that the right strategy? I examine this in a new Forbes site article:

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Figuring out parking for robocars

People are working hard to get robocars to handle public streets, but they also need to handle private parking lots for parking, pick-up and drop-off. Private lots have all sorts of strange rules, so a system is needed to make it easy to map them and make those maps and rules available to cars. I outline such a system in a new Forbes site article found here:

How Self Driving Cars will figure out Parking

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GM/Cruise leaks show them way, way behind Waymo. It's time for better metrics from everybody

Cruise car with sensors all around.

GM's "Cruise" robocar unit is often cited as #2 behind Waymo. Some recent leaks of their internal metrics for progress paint a dim picture; that they aren't nearly as far along as they hoped, which does not bode well for the planned 2019 launch. In fact, they show as an order of magnitude behind where Google/Waymo was back in 2015.

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In spite of the hype, 5G is not crucial for robocars

You've seen the hype and battles over 5G. You may also have seen claims that one of the most important reasons we need 5G is communication with robocars. While more bandwidth and lower latency are never bad things, it's a mistake to presume the cars are doing to depend on them, or that getting 5G is some sort of blocking factor.

I explain the (fairly low) bandwidth needs of cars in a new Forbes.com article:

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Tesla's use of the phrase "beta test."

Some of the reaction to the story of the lawsuit against Tesla came from Tesla's declaration that Autopilot is a product in "beta test."

I don't think that's actually true. I think it's a misuse of that phrase by Tesla to communicate something that is true -- "This product isn't finished, expect it to have bugs."

The problem is that almost no software product is ever "finished." And even once finished, they almost always have bugs.

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