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How Google's Self-Driving Car Works

IEEE Spectrum · talk · Watch on YouTube

Self-driving & autonomous vehiclesComputer vision, speech & NLP

What it is

Part 2 of the IROS 2011 keynote by Sebastian Thrun and Chris Urmson on Google's self-driving car. It shows how the car perceives its surroundings with a lidar point cloud and recognizes traffic lights and pedestrians. The audio is poor because it was recorded on a pocket camcorder.

Why Hacker News recommends it

HN recommends it as a technical talk aimed at a real engineering audience, with live demos of perception and pre-mapped roads.

  • 2 people recommended it
  • 2 different months
  • 1 strong recommendations
  • first 2012, last 2016

What HN commenters said

  1. “The whole talk is awesome and a presentation for an actual technical audience, too.”

    Technical talk with traffic light, pedestrian recognition demos

    magicalist, 2012-03 · Strong recommendation · in “Google's self driving cars can navigate drive-through restaurants.”

  2. “There's a great presentation about Google's self-driving car here”

    Presentation with real-time telemetry and driver intent behaviors

    iharris, 2013-04 · Recommendation · in “Google's self-driving car gathers almost 1 GB/sec”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: google self-driving car, lidar, sebastian thrun, autonomous vehicles, perception

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