SLAM Course - 11 - Particle Filters - A Short Intro (2013/14; Cyrill Stachniss)

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Komentáře • 32

  • @MarcusViniciusMO
    @MarcusViniciusMO Před 3 lety +2

    These courses are just precious !!! Thank you very much !!!

  • @adiai6083
    @adiai6083 Před rokem +1

    very nice....thank you for this slam series

  • @codebot2235
    @codebot2235 Před 4 lety +2

    Awesome course. The explanation is very clear and precise.

  • @fengfan8365
    @fengfan8365 Před 10 lety +1

    Now I understand the connection between Importance Sampling Principle and the measurement model. Thank you well much!

  • @charliepilgrim1065
    @charliepilgrim1065 Před 3 lety

    Thank you this is much clearer than some of the other videos on CZcams.

  • @ahmadfitri6035
    @ahmadfitri6035 Před 5 lety +3

    I just wanna say good content and tahnk you very much for sharing

  • @kavehahmadi8909
    @kavehahmadi8909 Před 9 lety +1

    Thank you. It really helps me to understand Particle Filters.

  • @pedroparamodelvalle6751
    @pedroparamodelvalle6751 Před 4 lety +1

    Awesome thanks for the lecture!

  • @davidkind9587
    @davidkind9587 Před 6 lety +1

    Vielen Dank

  • @mojiheydari
    @mojiheydari Před 4 lety

    Awe+some

  • @robosergTV
    @robosergTV Před 8 lety +1

    thank you very much, very helpful

  • @ibropwns
    @ibropwns Před 5 lety +1

    Thank you!

  • @SubodhMishrasubEE
    @SubodhMishrasubEE Před 6 lety +4

    How do you get the target distribution?

    • @oldcowbb
      @oldcowbb Před 4 lety +2

      you treat the prior set of particles as your proposed distribution and the observation as the weight for each particle, multiply them together and you will get the target, which is the posterior

    • @SubodhMishrasubEE
      @SubodhMishrasubEE Před 4 lety

      @@oldcowbb thanks!

  • @slabchan7310
    @slabchan7310 Před 7 lety

    No way, that's awesome

  • @cyTian
    @cyTian Před 10 lety

    super!

  • @kmsphase5904
    @kmsphase5904 Před 3 lety +1

    So can a particle filter be used to localize in an unknown map?

    • @CyrillStachniss
      @CyrillStachniss  Před 3 lety +1

      If you do not have the map, then it is most likely a SLAM problem. And yes, you can solve that with a particle filter. See for example the paper by Grisetti et al., published in TRO 2007 on SLAM with Rao-Blackwellized Particle Filters.

    • @shrinivasiyengar5799
      @shrinivasiyengar5799 Před 2 lety

      Thanks a lot for asking this question and thanks for the reply. Really helpful.

  • @serkantarcin
    @serkantarcin Před 10 lety +1

    In some of your lectures, you talk about some Introduction to Robotics Course. Are there any videos of that course too? I couldn't find it with a google search.

    • @bandar1606
      @bandar1606 Před 9 lety +7

      +Serkan Tarçın ais.informatik.uni-freiburg.de/teaching/ss14/robotics/

    • @UrbanPretzle
      @UrbanPretzle Před 4 lety +1

      And a more up to date copy of the `Introduction to Robotics Course` can be found here ais.informatik.uni-freiburg.de/teaching/ss20/robotics/

  • @DIPESH1001
    @DIPESH1001 Před 8 lety

    how to use particle filter in state estimation of power system... can you explain me a little ?

    • @CyrillStachniss
      @CyrillStachniss  Před 3 lety

      power systems are probably not my field of expertise...