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    Friday, January 10, 2020

    Self-Driving Cars Waymo secures bigger award against workers who went to rival Uber

    Self-Driving Cars Waymo secures bigger award against workers who went to rival Uber


    Waymo secures bigger award against workers who went to rival Uber

    Posted: 10 Jan 2020 11:52 AM PST

    Comma 2 CES Demo

    Posted: 09 Jan 2020 06:25 PM PST

    Intel’s Mobileye has a plan to dominate self-driving—and it might work

    Posted: 10 Jan 2020 12:26 PM PST

    Waymo's CEO John Krafcik at Fortune's Brainstorm Tech dinner at CES

    Posted: 09 Jan 2020 07:13 PM PST

    Elon 4 years ago today: "In ~2 years, summon should work anywhere connected by land & not blocked by borders, eg you're in LA and the car is in NY"

    Posted: 10 Jan 2020 01:26 PM PST

    Emphasis on Cameras over Lidar on Autonomous Vehicles Sets Mobileye Apart From Competition, CEO says

    Posted: 10 Jan 2020 01:17 AM PST

    Waymo Driverless video from inside car

    Posted: 09 Jan 2020 03:43 PM PST

    QUESTION: Eyes vs Cameras

    Posted: 09 Jan 2020 07:04 PM PST

    There are a few different approaches to self-driving cars, but for the purposes of this discussion let's talk about camera based self-driving. With tools such as machine learning and neural networks, it's only a matter of time until self driving vehicles become equal to or better than human drivers (how much time is anyone's guess). The fact that computers are exponentially faster than us, are never distracted, and have the ability to improve can only lead us into a self driving future. However, my main concern with this is the limitations of the cameras relative to the capability of the human eye. The amount of instantaneous dynamic range our eyes are capable of far exceeds what modern day cameras can currently achieve, especially in low light settings. It doesn't matter how good the algorithm is if the camera can't physically "see" something. How do camera based self-driving vehicles plan to overcome this?

    submitted by /u/arkmay_b
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    Hesai releases PandarQT, an Ultra-wide FOV LiDAR optimized for blind spot detection

    Posted: 09 Jan 2020 07:00 PM PST

    Autonomous Vehicle Technologies – A CES2020 Gallery

    Posted: 09 Jan 2020 05:43 PM PST

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