SLAM - 5 Minutes with Cyrill

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  • Опубліковано 1 сер 2024
  • SLAM explained in 5 minutes
    Series: 5 Minutes with Cyrill
    Cyrill Stachniss, 2020
    There is also a set of more detailed lectures on SLAM available:
    • Graph-based SLAM using...
    • Hierarchical Pose Grap...
    • Graph-Based SLAM with ...
    • Robust Least Squares f...
    Or my 2013/14 course on SLAM:
    • SLAM Course (2013)
    Credits:
    Video by Cyrill Stachniss
    Intro music by The Brothers Records
  • Наука та технологія

КОМЕНТАРІ • 12

  • @alixilviashah7166
    @alixilviashah7166 2 роки тому +2

    Thank you so much Cyril. Excellent job

  • @letatanu
    @letatanu 3 роки тому

    Your courses are always the best.

  • @skydarkbomber1728
    @skydarkbomber1728 2 роки тому +13

    The missile knows where it is at all times. It knows this because it knows where it isn't. By subtracting where it is from where it isn't, or where it isn't from where it is (whichever is greater), it obtains a difference, or deviation. The guidance subsystem uses deviations to generate corrective commands to drive the missile from a position where it is to a position where it isn't, and arriving at a position where it wasn't, it now is. Consequently, the position where it is, is now the position that it wasn't, and it follows that the position that it was, is now the position that it isn't.
    In the event that the position that it is in is not the position that it wasn't, the system has acquired a variation, the variation being the difference between where the missile is, and where it wasn't. If variation is considered to be a significant factor, it too may be corrected by the GEA. However, the missile must also know where it was.
    The missile guidance computer scenario works as follows. Because a variation has modified some of the information the missile has obtained, it is not sure just where it is. However, it is sure where it isn't, within reason, and it knows where it was. It now subtracts where it should be from where it wasn't, or vice-versa, and by differentiating this from the algebraic sum of where it shouldn't be, and where it was, it is able to obtain the deviation and its variation, which is called error.
    There, pretty much explains the SLAM algorithm in a more confusing manner

  • @starlite5097
    @starlite5097 3 роки тому

    Thanks for the introduction.

  • @darkside3ng
    @darkside3ng 4 роки тому

    Amazing!!!!

  • @welidbenchouche
    @welidbenchouche 4 роки тому

    Amazing. Does the slam 2003 course talk about the. Graph based optimization?

  • @elijahbrickey151
    @elijahbrickey151 Рік тому

    Very good but would be nice to have some visual aids like showing the graphs or a visual representation of poses or the processes

  • @Pages_Perfected
    @Pages_Perfected 2 роки тому

    hmm, is there a ready program that do mapping?

  • @harshdhanani8831
    @harshdhanani8831 2 роки тому

    could you make a short video of the installation slam in Windows using Visual studio or any possible options?

    • @Knutsjen
      @Knutsjen 6 місяців тому

      did you find this out? :D

  • @NoorAlam-kv7sv
    @NoorAlam-kv7sv 2 роки тому

    🤣🤣

  • @Lion-ef7zi
    @Lion-ef7zi 3 роки тому

    อ ่ัอนน