Take this car, for example.

就拿這輛車來說吧。

Can it drive autonomously or not?

它到底能不能自動駕駛？

The short answer is absolutely.

簡短的回答是當然可以。

That was Shweta Srivastava, senior product lead for driving behavior at Waymo.

她就是 Waymo 負責駕駛行為的高級產品主管 Shweta Srivastava。

What you're looking at is the Waymo driver in action.

您現在看到的就是 Waymo 駕駛員的實際操作。

Adapted for a variety of vehicle platforms, it is the most advanced fully autonomous driving technology in the world today.

它適用於各種車輛平臺，是當今世界上最先進的完全自動駕駛技術。

What you notice pretty quickly is that these aren't normal vehicles.

你很快就會發現，這些都不是普通的車輛。

Take this Jaguar I-PACE, for example.

以捷豹 I-PACE 為例。

It's been equipped with an elegant array of sensors and software, which allows it to move through the city on its own.

它配備了一系列精美的傳感器和軟件，可以在城市中自行穿行。

That's correct.

沒錯。

The Waymo driver is a combination of custom design, hardware, and software that is responsible for performing the entire act of driving.

Waymo 駕駛員是定製設計、硬件和軟件的結合體，負責執行整個駕駛行為。

That was James Philbin.

那是詹姆斯-菲爾賓。

He's an engineering lead on the perception team at Waymo.

他是 Waymo 感知團隊的工程負責人。

I asked him to break down the technology for us a bit more.

我請他為我們詳細介紹一下這項技術。

The Waymo driver handles the task of driving in three basic steps, sense, solve, and go.

Waymo 駕駛員的駕駛任務分為三個基本步驟：感知、解決和出發。

That's the way we describe the highly complex process of acquiring information, processing it, and moving through the world safely.

這就是我們描述獲取信息、處理資訊並在世界上安全前行這一高度複雜過程的方式。

So what goes into all that sensing?

那麼，這些感應都是怎麼回事呢？

The sensors that the Waymo driver uses are incredibly powerful, using a combination of

Waymo 駕駛員使用的傳感器功能強大，結合使用了

LiDAR, cameras, and radar.

激光雷達、照相機和雷達。

It can see up to three football fields in any direction, and can detect sirens from emergency vehicles, which allows the Waymo driver to visualize the world around it in milliseconds to a high degree of accuracy.

它可以看到任何方向長達三個足球場的範圍，並能探測到緊急車輛發出的警報聲，這使得 Waymo 駕駛員能在幾毫秒內高精度地將周圍的世界可視化。

Okay, sense makes sense.

好吧，有道理。

But what do you do with all that data?

但如何處理這些數據呢？

Good question.

問得好。

The system calculates the predicted future behavior for each relevant agent in the scene.

系統會計算場景中每個相關代理的預測未來行為。

Then, with a strong foundation derived from artificial intelligence and machine learning algorithms, the Waymo driver crunches all that data and calculates a safe route, while responding in real-time to the evolving traffic environment.

然後，在人工智能和機器學習算法的堅實基礎上，Waymo 駕駛員對所有數據進行分析，計算出安全路線，同時對不斷變化的交通環境做出實時響應。

If I understand correctly, this means the Waymo driver continues to learn as it goes, is trained and tested on scenarios that it's never seen before, and can differentiate safe and comfortable driving behaviors from hazardous and uncomfortable ones.

如果我理解正確的話，這意味著 Waymo 駕駛員會不斷學習，在從未見過的場景中接受訓練和測試，並能區分安全、舒適的駕駛行為和危險、不舒適的駕駛行為。

Yes, well done.

是的，幹得好。

Why thank you.

謝謝。

The final step in the sense-solve-go methodology is perhaps the most straightforward – go.

感性--解決--行動方法的最後一步也許是最直接的--行動。

Once the Waymo driver has determined the path to take, our advanced motion control systems allow for smooth acceleration and braking on heady streets, or managing bumper-to-bumper traffic with safe and natural driving movements.

一旦 Waymo 駕駛員確定了要走的路線，我們先進的運動控制系統就能在繁忙的街道上平穩加速和制動，或以安全、自然的駕駛動作應對車水馬龍的車流。

So it's really here, right now, in cities.

所以，它真的就在這裡，就在現在，就在城市裡。

Not smoke and mirrors, but true autonomous driving technology.

不是煙霧彈，而是真正的自動駕駛技術。

Waymo is taking what was once futuristic sci-fi and making it non-fiction.

Waymo 正在將曾經的未來科幻小說變成非小說。

And like all great technology, all that number crunching, all that data, just fades into the background.

就像所有偉大的技術一樣，所有的數字運算、所有的數據都會被淡忘。

And you realize, the dream of riding in a fully autonomous vehicle to your favorite dinner spot isn't just a vision of the future – it's actually happening, right now.

你會意識到，乘坐完全自動駕駛汽車前往你最喜歡的晚餐地點的夢想並不只是未來的憧憬，它正在真實地發生，就在此時此刻。