Autonomous Vehicle Technical Stack

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  • เผยแพร่เมื่อ 12 ก.พ. 2017
  • Brief overview of the autonomous vehicle technical stack with a focus on sensors and compute hardware. Presentation includes a case study on the Tesla Autopilot version 2.0 hardware and the 2nd generation Ford autonomous platform.

ความคิดเห็น • 26

  • @C5Dynamite
    @C5Dynamite 4 ปีที่แล้ว +2

    very useful, thank you.

  • @webdeveloperninja9220
    @webdeveloperninja9220 3 ปีที่แล้ว +5

    I believe the sonar is actually ultrasonic

  • @madhukanthk
    @madhukanthk 5 ปีที่แล้ว +12

    I am new to autonomous vehicle system and I was looking for such a technical intro and your's was the only one I could find. Thanks for the video. Where is the 'attached memo' which is mentioned towards the end in the video?

  • @michaelmclaren1668
    @michaelmclaren1668 ปีที่แล้ว +1

    Great video mate

  • @hiddennetwork1518
    @hiddennetwork1518 3 ปีที่แล้ว +2

    That's a great explanation. ... But the sad thing is I don't find any other video expect this in your channel... Are you fine!

  • @gowthambuthan
    @gowthambuthan 3 ปีที่แล้ว

    Thanks!

  • @roastbeefy0weefy
    @roastbeefy0weefy 5 ปีที่แล้ว +3

    is this CasuallyExplained?

  • @SelfDrivingCarsNews
    @SelfDrivingCarsNews 4 ปีที่แล้ว +2

    🔥

  • @GrayK3024
    @GrayK3024 2 ปีที่แล้ว

    We can I learn how to build one just the driving component.

  • @bonzsk
    @bonzsk 6 ปีที่แล้ว +11

    quick detail ... Tesla aims for driver assist tech whereas Ford has a closer approach to fully autonomus ... that is the main reason why the sensing & computer power is so greatly different

    • @robinsevers4588
      @robinsevers4588 6 ปีที่แล้ว +4

      The hardware requirements for level 4 (fully autonomous in most situations) and level 5 (fully autonomous) autonomy are more or less equivalent. Tesla have said that their vehicles are level 4 capable with only software updates necessary to get them there.

    • @robinsevers4588
      @robinsevers4588 6 ปีที่แล้ว +3

      Although, that does require trusting what Tesla says about its vehicles' capabilities...

    • @0ooTheMAXXoo0
      @0ooTheMAXXoo0 5 ปีที่แล้ว

      @@robinsevers4588They have been conservative about capabilities in the past.

    • @0ooTheMAXXoo0
      @0ooTheMAXXoo0 5 ปีที่แล้ว

      Tesla has never said they aim for driver assist and their development of their own hardware shows they are serious. A fleet of self-driving cars has been part of their business plans for a decade. They specifically rely on cameras so that they can have a all-around solution that will mimic human capabilities when dealing with edge-cases when fully automatic.

    • @SomasundharamMuthumanickam
      @SomasundharamMuthumanickam 5 ปีที่แล้ว +8

      @@robinsevers4588 I've been working with Autonomous Driving for more than 6 years.
      Tesla's solution cannot provide the amount of redundancy required for a level 4 or level 5 vehicle.
      This is why Musk usually chooses to avoid answering this question.

  • @jve89
    @jve89 4 ปีที่แล้ว +1

    If Lidar means laser radar... Why isn't it called Ladar? Would make more sense compared to Radar. Just change 1 letter. Sounds better too.

    • @H_Blackburn
      @H_Blackburn 4 ปีที่แล้ว +10

      jve89 LiDAR = Light Detection And Ranging. RaDAR = Radio Detection And Ranging

    • @philipwarshowsky6621
      @philipwarshowsky6621 4 ปีที่แล้ว +2

      Early papers often referred to it as ladar

    • @Isaqiu
      @Isaqiu 4 ปีที่แล้ว +4

      LiDAR=Light detection and ranging

    • @jvelazquezj
      @jvelazquezj 3 ปีที่แล้ว

      LIDAR means LIght Detection And Ranging, no laser

  • @yourube9690
    @yourube9690 4 ปีที่แล้ว +5

    Safe autonomous driving simply impossible without a relatively high level of intelligence which has to be self training, You cannot just detect lines to keep it safe you need to keep context in mind which country you are in, which road it is what is current speed and weather conditions.
    Autonomous driving cannot be separated from intelligence. It is part of the same problem.

    • @adin7474
      @adin7474 3 ปีที่แล้ว

      What you're talking about is configurations

  • @pillslolli-ef3fh
    @pillslolli-ef3fh 2 หลายเดือนก่อน

    monster big oversized large enourmious tall enlarged