Chris Gerdes (Stanford University) - Ingenuity Derived from Self-Driving Cars
Entrepreneurial Thought Leaders (ETL)
Stanford eCorner
4.5 • 740 Ratings
🗓️ 24 January 2018
⏱️ 56 minutes
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| 0:00.0 | Stanford E-Corner presents the Entrepreneurial Thought Leader series. |
| 0:04.0 | On today's episode, we have Chris Gertes, Stanford Professor of Mechanical Engineering. |
| 0:08.5 | He was recently the chief innovation officer at the U.S. Department of Transportation |
| 0:12.5 | and is a world expert on autonomous vehicles. |
| 0:16.0 | Here's Chris. |
| 0:18.5 | I want to start off by taking you back to 1995. |
| 0:24.0 | That may be a pleasant trip down memory lane for some of you and others in the room may not have been born at that time. |
| 0:29.2 | But if we go back to 1995, we were using Windows 95 on our browser and it was a cool new thing. |
| 0:34.9 | Netflix, excuse me, Netscape had just gone public with their Mosaic browser. |
| 0:40.6 | That's how we were getting around on the internet. |
| 0:43.7 | OJ was on trial. |
| 0:45.1 | Jerry Garcia had just passed away, and some of us were actually working on automated vehicles. |
| 0:50.5 | But what we were looking at at the time wasn't what you think about as an automated vehicle today. |
| 0:54.7 | Instead, the concept was an automated highway. |
| 0:57.2 | We would have magnets in the road that the cars would follow, and the cars would follow each other at extremely close spacing. |
| 1:03.4 | So we could improve capacity, and we could reduce some of the aerodynamic drag. |
| 1:07.8 | So doing my PhD work at UC Berkeley, I actually worked with a set of Lincoln Town cars, |
| 1:13.5 | and my task was to make sure that these things could drive about two meters, about six feet |
| 1:18.1 | apart from each other while the cars accelerated or even had a heavy break and to make sure |
| 1:23.3 | that that distance remained constant. Now, at the time, that was sort of crazy science fiction. |
| 1:29.5 | And whenever anybody asked us, when do you think this is going to be realistic, we used |
| 1:34.0 | the typical answer that people have used for automated vehicles since about 1940, and |
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