Yesterday I attended the "Silicon Valley reinvents the wheel" conference by the Western Automotive Journalists which had a variety of talks and demonstrations of new car technology.

Now that robocars have hit the top of the "Gartner Hype Cycle" for 2015, everybody is really piling on, hoping to see what's good for their industry due to the robocar. And of course, there is a great deal of good, but not for several industries.

Let me break down some potential misconceptions if my predictions are true:

Most of you would have heard about the giant scandal where it has been revealed that Volkswagen put software in their cars to deliberately cheat on emissions tests in the USA and possibly other places. It's very bad for VW, but what does it mean for all robocar efforts?

You can read tons about the Volkswagen emissions violations but here's a short summary. All modern cars have computer controlled fuel and combustion systems, and these can be tuned for different levels of performance, fuel economy and emissions. (Of course, ignition in a diesel is not done by an electronic spark.) Cars have to pass emission tests, so most cars have to tune their systems in ways that reduce other things (like engine performance and fuel economy) in order to reduce their pollution. Most cars attempt to detect the style of driving going on, and tune the engine differently for the best results in that situation.

VW went far beyond that. Apparently their system was designed to detect when it was in an emissions test. In these tests, the car is on rollers in a garage, and it follows certain patterns. VW set their diesel cars to look for this, and tune the engine to produce emissions below the permitted numbers. When the car saw it was in more regular driving situations, it switched the tuning to modes that gave it better performance and better mileage but in some cases vastly worse pollution. A commonly reported number is that in some modes 40 times the California limit of Nitrogen Oxides could be emitted, and even over a wide range of driving it was as high as 20 times the California limit (about 5 times the European limit.) NOx are a major smog component and bad for your lungs.

It has not been revealed just who at VW did this, and whether other car companies have done this as well. (All companies do variable tuning, and it's "normal" to have modestly higher emissions in real driving compared to the test, but this was beyond the pale.) The question everybody is asking is "What the hell were they thinking?"

That is indeed the question, because I think the central issue is why VW would do this. After all, having been caught, the cost is going to be immense, possibly even ruining one of the world's great brands. Obviously they did not really believe that they might get caught.

Beyond that, they have seriously reduced the trust that customers and governments will place not just in VW, but in car makers in general, and in their software offerings in particular. VW will lose trust, but this will spread to all German carmakers and possibly all carmakers. This could result in reduced trust in the software in robocars.

What the hell were they thinking?

The motive is the key thing we want to understand. In the broad sense, it's likely they did it because they felt customers would like it, and that would lead to selling more cars. At a secondary level, it's possible that those involved felt they would gain prestige (and compensation) if they pulled off the wizard's trick of making a diesel car which was clean and also high performance, at a level that turns out to be impossible.

Much press has been made over Jonathan Petit's recent disclosure of an attack on some LIDAR systems used in robocars. I saw Petit's presentation on this in July, but he asked me for confidentiality until they released their paper in October. However, since he has decided to disclose it, there's been a lot of press, with truth and misconceptions.

There are many security aspects to robocars. By far the greatest concern would be compromise of the control computers by malicious software, and great efforts will be taken to prevent that. Many of those efforts will involve having the cars not talk to any untrusted sources of code or data which might be malicious. The car's sensors, however, must take in information from outside the vehicle, so they are another source of compromise.

There are ways to compromise many of the sensors on a robocar. GPS can be easily spoofed, and there are tools out there to do that now. (Fortunately real robocars will only use GPS as one clue to their location.) Radar is also very easy to spooof -- far easier than LIDAR, agrees Petit -- but their goal was to see if LIDAR is vulnerable.

The attack is a real one, but at the same time it's not, in spite of the press, a particularly frightening one. It may cause a well designed vehicle to believe there are "ghost" objects that don't actually exist, so that it might brake for something that's not there, or even swerve around it. It might also overwhelm the sensor, so that it feels the sensor has failed, and thus the car would go into a failure mode, stopping or pulling off the road. This is not a good thing, of course, and it has some safety consequences, but it's also a fairly unlikely attack. Essentially, there are far easier ways to do these things that don't involve the LIDAR, so it's not too likely anybody would want to mount such an attack.

Indeed, to do these attacks, you need to be physically present, near the target car, and you need a solid object that's already in front of the car, such as the back of a truck that it's following. (It is possible the road surface might work.) This is a higher bar than attacks which might be done remotely (such as computer intrusions) or via radio signals (such as with hypothetical vehicle-to-vehicle radio, should cars decide to use that tech.)

Here's how it works: LIDAR works by sending out a very short pulse of laser light, and then waiting for the light to reflect back. The pulse is a small dot, and the reflection is seen through a lens aimed tightly at the place the pulse was sent. The time it takes for the light to come back tells you how far away the target is, and the brightness tells you how reflective it is, like a black-and-white photo.

To fool a lidar, you must send another pulse that comes from or appears to come from the target spot, and it has to come in at just the right time, before (or on some, after) the real pulse from what's really in front of the LIDAR comes in.

The attack requires knowing the characteristics of the target LIDAR very well. You must know exactly when it is going to send its pulses before it sends them, and thus precisely (to the nanosecond) when a return reflection ("return") would arrive from a hypothetical object in front of the LIDAR. Many LIDARS are quite predictable. They scan a scene with a rotating drum, and you can see the pulses coming out, and know when they will be sent.

Jean-Louis Gassée, while a respected computer entrepreneur, wrote a critical post on robocars recently which matches a very common pattern of critical articles:

The pattern is as follows:

Everybody has heard about Google's restructuring. In the restructuring, Google [x], which includes the self-driving car division, will be a subsidiary of the new Alphabet holding company, and no longer part of Google.

Having been a consultant on that team, I have some perspective to offer on how the restructuring might affect the companies that become Alphabet subsidiaries and leave the Google umbrella.

From small beginnings, over 800 people are here at the Ann Arbor AUVSI/TRB Automated Vehicles symposium. Let's summarize some of the news.

Test Track

Lots of PR about the new test track opening at University of Michigan. I have not been out to see it, but it certainly is a good idea to share one of these rather than have everybody build their own, as long as you don't want to test in secret.

I'm in the Detroit area for the annual TRB/AUVSI Automated Vehicle Symposium, which starts tomorrow. Today, those in Ann Arbor attended the opening of the new test track at the University of Michigan. Instead, I was at a small event with a lot of good folks in downtown Detroit, sponsored by SAFE which is looking to wean the USA off oil.

Much was discussed, but a particularly interesting idea was just how close we are getting to something I had put further in the future -- robocars that are cheaper than ordinary cars.

We know electric cars are getting better and likely to get popular even when driven by humans. Tesla, at its core, is a battery technology company as much as it's a car company, and it is sometimes joked that the $85,000 Telsa with a $40,000 battery is like buying a battery with a car wrapped around it. (It's also said that it's a computer with a car wrapped around it, but that's a better description of a robocar.) (Update: Since this article was written, the cost of the Tesla battery has dropped to closer to $20,000.)

At Singularity U, we're releasing a new video series answering questions about our future technology topics that come from Twitter. My segment is one of the first, and while regular readers of my blog will probably have seen me talk about most of these, here is the video:

The press were all a-twitter about a report from Reuters that there had been a near miss between Delphi's test car and one of Google's though it was quickly denied that anything happened

The situation described, one car cutting off another, was a very unlikely one for several reasons:

A reader recently asked about the synergies between robocars and ultracapacitors/supercapacitors. It turns out they are not what you would expect, and it teaches some of the surprising lessons of robocars.

2 months mostly on the road, so here's a roundup of the "real" news stories in the field.

This weekend I went to Pomona, CA for the 2015 DARPA Robotics Challenge which had robots (mostly humanoid) compete at a variety of disaster response and assistance tasks. This contest, a successor of sorts to the original DARPA Grand Challenge which changed the world by giving us robocars, got a fair bit of press, but a lot of it was around this video showing various robots falling down when doing the course:

What you don't hear in this video are the cries of sympathy from the crowd of thousands watching -- akin to when a figure skater might fall down -- or the cheers as each robot would complete a simple task to get a point. These cheers and sympathies were not just for the human team members, but in an anthropomorphic way for the robots themselves. Most of the public reaction to this video included declarations that one need not be too afraid of our future robot overlords just yet. It's probably better to watch the DARPA official video which has a little audience reaction.

Don't be fooled as well by the lesser-known fact that there was a lot of remote human tele-operation involved in the running of the course.

Check out my Gallery of Photos from the DARPA Robotics Challenge Finals.

What you also don't see in this video is just how very far the robots have come since the first round of trials in December 2013. During those trials the amount of remote human operation was very high, and there weren't a lot of great fall videos because the robots had tethers that would catch them if they fell. (These robots are heavy and many took serious damage when falling, so almost all testing is done with a crane, hoist or tether able to catch the robot during the many falls which do occur.)

We aren't yet anywhere close to having robots that could do tasks like these autonomously, so for now the research is in making robots that can do tasks with more and more autonomy with higher level decisions made by remote humans. The tasks in the contest were:

• Starting in a car, drive it down a simple course with a few turns and park it by a door.
• Get out of the car -- one of the harder tasks as it turns out, and one that demanded a more humanoid form
• Go to a door and open it
• Walk through the door into a room
• In the room, go up to a valve with circular handle and turn it 360 degrees
• Pick up a power drill, and use it to cut a large enough hole in a sheet of drywall
• Perform a surprise task -- in this case throwing a lever on day one, and on day 2 unplugging a power cord and plugging it into another socket
• Either walk over a field of cinder blocks, or roll through a field of light debris
• Climb a set of stairs

The robots have an hour to do this, so they are often extremely slow, and yet to the surprise of most, the audience -- a crowd of thousands and thousands more online -- watched with fascination and cheering. Even when robots would take a step once a minute, or pause at a task for several minutes, or would get into a problem and spend 10 minutes getting fixed by humans as a penalty.

Some headlines (I've been on the road and will have more to say soon.)

Google announces it will put new generation buggies on city streets

Google has done over 2.7 million km of testing with their existing fleet, they announced. Now, they will be putting their small "buggy" vehicle onto real streets in Mountain View. The cars will stick to slower streets and are NEVs that only go 25mph.

Earlier this week I was sent some advance research from the U of Michigan about car sickness rates for car passengers. I found the research of interest, but wish it had covered some questions I think are more important, such as how carsickness is changed by potentially new types of car seating, such as face to face or along the side.

Most of the robocar press this week has been about the Delphi drive from San Francisco to New York, which completed yesterday. Congratulations to the team. Few teams have tried to do such a long course and so many different roads. (While Google has over a million miles logged in their testing by now, it's not been reported that they have done 3,500 distinct roads; most testing is done around Google HQ.)

I often speak about deliverbots -- the potential for ground based delivery robots. There is also excitement about drone (UAV/quadcopter) based delivery. We've seen many proposed projects, including Amazon prime Air and much debate.

I've been on the road, and there has been a ton of news in the last 4 weeks. In fact, below is just a small subset of the now constant stream of news items and articles that appear about robocars.

Delphi has made waves by undertaking a road trip from San Francisco to New York in their test car, which is equipped with an impressive array of sensors. The trip is now underway, and on their page you can see lots of videos of the vehicle along the trek.

The Delphi vehicle is one of the most sensor-laden vehicles out there, and that's good. In spite of all those who make the rather odd claim that they want to build robocars with fewer sensors, Moore's Law and other principles teach us that the right procedure is to throw everything you can at the problem today, because those sensors will be cheap when it comes time to actually ship. Particularly for those who say they won't ship for a decade.

At the same time, the Delphi test is mostly of highway driving, with very minimal urban street driving according to Kristen Kinley at Delphi. They are attempting off-map driving, which is possible on highways due to their much simpler environment. Like all testing projects these days, there are safety drivers in the cars ready to intervene at the first sign of a problem.

Delphi is doing a small amount of DSRC vehicle to infrastructure testing as well, though this is only done in Mountain View where they used some specially installed roadside radio infrastructure equipment.

Delphi is doing the right thing here -- getting lots of miles and different roads under their belt. This is Google's giant advantage today. Based on Google's announcements, they have more than a million miles of testing in the can, and that makes a big difference.

Hype and reality of Tesla's autopilot announcement

Telsa has announced they will do an over the air upgrade of car software in a few months to add autopilot functionality to existing models that have sufficient sensors. This autopilot is the "supervised" class of self driving that I warned may end up viewed as boring. The press have treated this as something immense, but as far as I can tell, this is similar to products built by Mercedes, BMW, Audi and several other companies and even sold in the market (at least for traffic jams) for a couple of years now.

The other products have shied away from doing full highway speed in commercial products, though rumours exist of it being available in commercial cars in Europe. What is special about Tesla's offering is that it will be the first car sold in the US to do this at highway speed, and they may offer supervised lane change as well. It's also interesting that since they have been planning this for a while, it will come as a software upgrade to people who bought their technology package earlier.

UK project budget rises to £100 million

What started with a £10 million pound prize has grown in the UK has become over 100m in grants in the latest UK budget. While government research labs will not provide us with the final solutions, this money will probably create some very useful tools and results for the private players to exploit.

MobilEye releases their EyeQ4 chip

MobilEye from Jerusalem is probably the leader in automotive machine vision, and their new generation chip has been launched, but won't show up in cars for a few years. It's an ASIC packed with hardware and processor cores aimed at doing easy machine vision. My personal judgement is that this is not sufficient for robocar driving, but MobilEye wants to prove me wrong. (The EQ4 chip does have software to do sensor fusion with LIDAR and Radar, so they don't want to prove me entirely wrong.) Even if not good enough on their own, ME chips offer a good alternate path for redundancy

Chris Urmson gives a TeD talk about the Google Car

Talks by Google's team are rare -- the project is unusual in trying to play down its publicity. I was not at TeD, but reports from there suggest Chris did not reveal a great deal new, other than repeating his goal of having the cars be in practical service before his son turns 16. Of course, humans will be driving for a long time after robocars start becoming common on the roads, but it is true that we will eventually see teens who would have gotten a licence never get around to getting one. (Teems are already waiting longer to get their licences so this is not a hard prediction.)

The war between DSRC and more wifi is heating up.

2 years ago, the FCC warned that since auto makers had not really figured out much good to do with the DSRC spectrum at 5.9ghz, it was time to repurpose it for unlicenced use, like more WiFi.

There is now a bill to force this being proposed.

I was recently considering the price of UberX in Los Angeles. It's gotten disturbingly low:

Flag drop: $0 18 cents/minute 90 cents/mile

This is not a very good deal for the driver. After Uber's 20% cut, that's 72 cents/mile. According to AAA, a typical car costs about 60 cents/mile to operate, not including parking. (Some cars are a bit cheaper, including the Prius favoured by UberX drivers.) In any event, the UberX driver is not making much money on their car.

All over the world, people (and governments) are debating about regulations for robocars. First for testing, and then for operation. It mostly began when Google encouraged the state of Nevada to write regulations, but now it's in full force. The topic is so hot that there is a danger that regulations might be drafted long before the shape of the first commercial deployments of the technology take place.