Scan Registration for Autonomous Mining Vehicles Using 3D-NDTKitsukawa Yuki
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研究室のゼミの論文紹介の発表資料です。
Magnusson, M., Lilienthal, A. and Duckett, T. (2007), Scan registration for autonomous mining vehicles using 3D-NDT. J. Field Robotics, 24: 803–827. doi: 10.1002/rob.20204
The document summarizes research trends in trajectory prediction using deep learning. It discusses categories of trajectory prediction methods including Bayesian-based, deep learning-based, and planning-based. For deep learning-based methods, it categorizes models based on whether they consider interactions between objects or not. Pooled models and attention models are discussed for methods that consider interactions. Recent models from 2016 to 2020 are also presented in a table. The purpose of the survey is to summarize characteristics of trajectory prediction methods in each category, introduce datasets and evaluation metrics, and discuss prediction accuracy and results of representative models.
NagoyaStat #9 で使用した資料です(公開に当たって口頭の内容を補完したものになります)。
「StanとRでベイズ統計モデリング」の第7章になります。
内容は単に回帰分析を行うだけではダメなケースについての取り扱い方について、著者の流儀について理解しようというものになります。
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The title of textbook is "Bayesian statistical modeling with Stan and R", and that of Chapter 7 in textbook is "Troublesome situation in regression analysys" in English.
These slides include many inappropriate graphs. If you want to tell the summary of the data correctly, you should avoid to use graphs in this presentation. They can mislead those who view them.
In English, the title of presentaion is "24 slides including graphs that should not be absolutely drawn".
NagoyaStat #9 で使用した資料です(公開に当たって口頭の内容を補完したものになります)。
「StanとRでベイズ統計モデリング」の第7章になります。
内容は単に回帰分析を行うだけではダメなケースについての取り扱い方について、著者の流儀について理解しようというものになります。
---
The title of textbook is "Bayesian statistical modeling with Stan and R", and that of Chapter 7 in textbook is "Troublesome situation in regression analysys" in English.
These slides include many inappropriate graphs. If you want to tell the summary of the data correctly, you should avoid to use graphs in this presentation. They can mislead those who view them.
In English, the title of presentaion is "24 slides including graphs that should not be absolutely drawn".