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You put a car on the road which may be driving by the letter of the law, but compared to the surrounding road users, it's acting very conservatively. This can lead to situations where the autonomous car is a bit of a fish out of water.
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When you contribute to an open-source or a shared solution, and there's a liability issue that arises from the use of that solution, how will this be tracked back to individual contributors?
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It's challenging to drive in a way that's human-like.
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I love driving through Western Massachusetts, out through the Berkshires, when the road is empty and it's a nice day. I don't like driving home on Memorial Drive at 5:45 or 6:45 at night when it's crowded and stressful. I think that's true of most people, and the goal of automated driving is to take the stressful part of driving out of the task.
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If you're a large organization, you may welcome a bit of regulation to keep the small guys out.
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Everybody likes driving through scenic, winding roads. It's hard to find people who like sitting in traffic in cities.
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The AV ecosystem is constantly evolving, and no single winner will be crowned.
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Humans violate the rules in a safe and principled way, and the reality is that autonomous vehicles in the future may have to do the same thing if they don't want to be the source of bottlenecks.
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The thing about stories is that they almost always find their way onto the page, even if it takes a while.
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Singapore is likely to be the world's first market for self-driving cars. Commercial services around self-driving vehicles will likely be in Singapore before they are anywhere else in the world.
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Even if we wanted to imbue an autonomous vehicle with an ethical engine, we don't have the technical capability today to do so.
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There's a lot of knowledge in civil engineering about how soils will react when subjected to heavy loads. When you take lightweight vehicles and granular soils of varying composition, it's a very complex modeling process.
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It's maybe an unrecognized fact of academia that what you spend a lot of your time doing is convincing people of your vision and raising funds to support your research activity. So in that sense, transitioning to a startup wasn't that big of a transition.
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To the extent that trolley problem scenarios exist in the real world, AVs will make them rarer, not more frequent.
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For self-driving cars in particular, there are lots of dimensions of this technology beyond just impact on labour. There is a massive potential improvement in public health.
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From a technology and economic perspective, it's vastly more likely that autonomy will be used for mobility services.
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Singapore's not a very big country. They speak with one voice, and they have a clear idea of what their regulatory environment should look like.
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For better or worse, we have to bridge this divide between developing cars that drive by the book and cars that drive how you and I drive.
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We are all vulnerable to the tendency to overestimate the likelihood of vivid, cognitively available risks rather than statistically likelier, but less salient, risks.
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I usually have a general idea of where the story is going, but I try to avoid planning in too much detail. The best endings are those that emerge only after I've thought long and hard about the various ways the story might end. Then I choose the ending that seems surprising yet somehow inevitable.
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It's a cultural question. Will people want to share cars?
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Surveys show that while many people are open to the idea of an autonomous vehicle driving them to work, far fewer are willing to let one drive their child to soccer practice.
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We hope to get to the place where there are thousands of Peugeot cars on the road running nuTonomy software.
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My stories often begin with a situation or character rather than an insight about the human condition. It's always been difficult for me to write from an abstract idea, no matter how interesting or compelling I feel the idea might be.