I am fortunate in the sense that my employer has an excellent training program which allows me to participate in some very interesting courses.
Last week I was at Stanford University, Palo Alto, in the heart of Silicon Valley. The course was all about innovation and entrepreneurship.
We spend a whole morning at the CARS lab, with Prof Christiaan Gerdes. See
http://cars.stanford.edu
A pretty cool place for any petrol head. Now the course had nothing to do with the car industry as such, more about innovation and entrepeneurship in general and in the context of Silicon Valley. Even so, we did discuss a bit about the technology involved as well. I certainly learned some new things, so I though I would share some of the more remarkable things I heard/learned.
One of the things, that is preached if not to say is a real mantra all around Sillicon valley is the need for very early prototyping. No matter what it is you are thinking of producing. Its all about mission orientation and the earlier you can visualise, see and feel the better your end product is likely to be. Learn by doing as they call it
So quite some years ago Nissan came to Stanford with a question on the ‘steer by wire” they (Nissan) at the time was developing. Their question was, how can we diagnose faults from very early on and thus reduce the need for redundancy.
Rather then to tackle this problem purely from the ‘steer by wire’ perspective Stanford convinced them to built a complete prototype car. When Nissan asked them to what purpose, the answer was: we don’t know, but we are very likely to learn an awful lot. Nissan did agree and they built a first prototype car with independent front steering and independent rear drive. As they started driving this contraption it became obvious that as the steering and suspension handles all the forces coming from the tires, they could also use this to calculate for instance road friction.
Long story short, this ultimately became the “Directive Adaptive Steering on the 2014 Infiniti Q50 in 2014. That by the way was quite a few years after Stanford concluded their research.
Another story they told was around Shelley.
http://news.stanford.edu/news/2010/f...ak-020310.html
The car, with different stickers, still sits in their garage
Shelley is all about Stanford involvement in autonomous cars and I refer to the above link for some more information. But this car can really move. They are able to race it, without driver, close to amateur race drivers times on tracks.
I had a long conversation with one of the graduates who is looking after the positioning system such as GPS, inertial reference system and such. Very interesting.
What the Shelley Pike Peak did not tell was that initially Audi was very reluctant to even acknowledge that they had driven up the peak autonomously. The reason was that during what was supposed to be the last climb, the pursuit helicopter that was also filming crashed. The helicopter was totalled, all occupants escaped more or less unharmed, but Audi just did not want this out in the public domain, so essentially the whole project was shelved. Only considerable time later, Audi came back and Shelley made an appearance on stage at one of the international car shows as the shining example of Audi’s innovative inroad in autonomous cars. At that show the then Audi CEO mentioned the Peak climb for the very first time, in public.
They also have their own driving simulation and I spend some time in it.
It is a static simulator and I found quite disorientating at first. When it comes to autonomous cars there are, broadly speaking, two different approaches. There is the Google approach which is you get in the car, you push a button and that’s it. you don’t have to do anything else. The other approach and it seems most current car manufacturers have taken this approach is that there is constant need for driver and computer interaction and handing over of command. So when the computer gets confused he tells you to take control again. A lot of research around this handing over of control was done in this simulator. They found it took on average 3.5 - 5.5 seconds for a driver to re-engage. Imagine, you are driving and your car is autonomous mode. You are maybe looking at your smart phone and the car tells you to take control. It would take you that long to fully understand what is happening, absorb the environment etc and be in actual control of the car. At a speed of around 100km/h that also means that the sensors must have the ability to see ahead for several hundred meters!
Tesla has just launched a new software version for their cars, that apparently allows for certain autonomous driving, although I understand you are not supposed to let go of the steering wheel!
Here is another interesting angle to the software updates of Tesla. Tesla owners actually welcome these software updates. They don’t see it as bug fixers or that the car was initially not well designed. They see it at as a proof point of the continuous innovation of Tesla and are very happy to upgrade the software of their cars at regular intervals. There are other examples, in other industries (media) that have been successful in this approach, sort of continuous evolution of their product. Very often based on input from consumers. Again learning by doing.
Nobody I spoke to wanted to make any prediction about when we will see full autonomous cars on the road. However, they all pointed out that the typical time between research at Stanford and when that researched actually found its way into products to the market was at least 10 years!
Here are a few more shots of their garage.
For me personally, with a huge interest in tools a bit of a wet dream.
Here is another prototype for an electric car with independent, electric steering.
When you say Silicon Valley, Stanford University, entrepreneur and innovation you have to mention Elon Musk of course. We were lucky as Elon was at the campus being interview by Venture Capitalist Steve Jurvetson. Interesting conversation. Later we met with Steve and discussed the world of VC for several hours.
You might remember the original Back to the future movie? As the real back to the movie addict will know Doc travel to the future, October 8th, 2015 to be precise. So obviously a DeLoran materialised on campus, and Tesla put one of their new models on display as well. Nice little party.
All in all, spending a week in Silicon Valley is a remarkable experience, no matter what.
Jeroen