Iterative Closest Point

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学習するスキル

Particle Filter, Estimation, Mapping

レビュー

4.3 (464 件の評価)
  • 5 stars
    58.83%
  • 4 stars
    20.47%
  • 3 stars
    12.06%
  • 2 stars
    4.09%
  • 1 star
    4.52%
NN
2016年6月19日

This is course is really helpful for beginners to understand how probability is useful in Robotics.Assignments are bit tough but worth the time .

AV
2016年6月24日

A tough course with few hours of lecture material and some good programming assignments.You will be satisfied by those assignments however .

レッスンから
Bayesian Estimation - Localization
We will learn about robotic localization. Specifically, our goal of this week is to understand a how range measurements, coupled with odometer readings, can place a robot on a map. Later in the week, we introduce 3D localization as well.

講師

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    Daniel Lee

    Professor of Electrical and Systems Engineering

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