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Are Autonomous Vehicles Finally Here? Buckle up!

Self-driving cars have been on the horizon for quite some time. But, they might actually be here. We got to ride around in one all over San Francisco with Waymo’s Chief Product Officer, Saswat Panigrahi. We discussed so much, including the five levels of autonomy, the infamous LIDAR vs video debate, regulation, UX, and the role of AI in fine-tuning these models. But most importantly, if autonomy is here… now what?! Topics Covered: 00:00 - A first look at Waymo 02:06 - 5 levels of autonomy 04:20 - Technology challenges 06:55 - The technology behind Waymo 11:58 - LiDAR vs video debate 16:21 - How Waymo differentiates 19:01 - Technological unlocks on the horizon 21:26 - The role of AI in autonomous vehicles 24:17 - How Waymo views safety 31:25 - Collaborating with regulators 37:12 - Learnings from the first 2m miles 39:48 - Driving user retention 44:16 - Waymo’s expansion strategy 47:55 - Changing regulation 48:42 - Societal unlocks enabled by autonomy 53:47 - Will self-driving cars replace humans? 54:26 - Closing thoughts Resources: Check out Waymo: https://waymo.com/ Check out Waymo’s Youtube channel: https://www.youtube.com/@Waymo Find Saswat on Twitter: https://twitter.com/saswat101 Check out a16z's 8-part series on the autonomous vehicle ecosystem: https://a16z.com/2018/02/03/autonomy-ecosystem-frank-chen-summit/ Find a16z on Twitter: https://twitter.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Subscribe on your favorite podcast app: https://a16z.simplecast.com/ Follow our host: https://twitter.com/stephsmithio Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Saswat PanigrahiguestSteph Smithhost
Jun 26, 20231h 0mWatch on YouTube ↗

Summaries, chapters, transcripts, and FAQs on this page are made by uListen, not YouTube.

At a glance

WHAT IT’S REALLY ABOUT

Riding Waymo's Driverless Car Through San Francisco With Its Product Chief

  1. Saswat Panigrahi explains that Waymo operates at level 4 autonomy, with no human expected to take over, and describes how that differs greatly from levels 2 and 3.
  2. He describes the stack as perceiving, predicting, and deciding, built on custom lasers, cameras, radars, microphones, and heavy machine learning, with Waymo building its own hardware and simulation.
  3. On safety, he argues that collisions are only one measure, and points to Waymo's data of 1 million fully autonomous miles with no injury collisions, with about 2 million miles about to be crossed.
  4. Product design choices such as the in-car screen, pickup-side logic, and rider feedback aim to build trust and repeat use, while expansion is guided by choosing diverse, commercially important cities.
  5. Panigrahi sees broad societal benefits, including fewer road deaths, access for people who can't drive, reduced parking and idle cars, and changes to trucking.

IDEAS WORTH REMEMBERING

5 ideas

Level 4 is a different universe from level 3

Panigrahi says the gap is like driving versus flying, because level 3 still expects a human to take over within seconds while level 4 requires far higher assurance.

Lidar versus video is a false ideology

He argues each sensor has strengths the others lack, so combining them is best, and the real question is cost, which he says has fallen sharply for lidar.

Waymo built its own stack because off-the-shelf parts fell short

He says the best available lidar and radar weren't optimized for autonomous driving, and that learning from millions of miles shaped long-lead hardware design.

The driver is generalizing to new cities

Panigrahi says LA worked well almost immediately and Scottsdale opened within two months, because most good-weather cities blend the tight urban driving of SF with the faster roads of Phoenix.

Safety goes beyond avoiding collisions

He lists four layers: crash data, avoiding risky behavior, making riders feel safe, and not overpromising capabilities.

WORDS WORTH SAVING

5 quotes

Saying you love LIDARs and hate cameras or vice versa is saying you love one wavelength versus the other wavelength, right?

— Saswat Panigrahi

Like, it takes us a lifetime to understand ourselves.

— Saswat Panigrahi

Not only is the car designed around a driver, life is designed around driving, right?

— Saswat Panigrahi

The reason we exist is to make driving safer.

— Saswat Panigrahi

Not fear. You know, the closest feeling I can describe is when you have prepared for an exam for six years. You know that you have prepared as best as you possibly could for it. You left nothing on the table, but it is exam day.

— Saswat Panigrahi

Five levels of autonomySensor fusion: lidar, camera, radarBuilding hardware and software in-houseAI, simulation, and generalization across citiesDefining and measuring safetyRider experience and product designSocietal impact of autonomy

High quality AI-generated summary created from speaker-labeled transcript.

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