【Udacity筆記】AI for Robitics - Localization 機器人定位
分享我的Gatech OMSCS學位的網課筆記，開始上課都沒時間刷題了。。 https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373 這是第一課： Localization的 基本原理 這一章主要講如何通過先驗概率+觀察結果+移動後的觀察結果，給機器人定位。 從上到下四根線，所有的前提都是門的位置已知。 沒
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相關文章
- 1. 機器人建圖及定位概述（Robotic Mapping and Localization）
- 2. AtLoc: Attention Guided Camera Localization 相機重定位 論文筆記
- 3. Learning Deep Features for Discriminative Localization 筆記2
- 4. Learning Deep Features for Discriminative Localization筆記
- 5. 論文筆記：Learning Deep Features for Discriminative Localization
- 6. Learning Deep Features for Discriminative Localization論文筆記
- 7. 【Udacity筆記】What is Machine Learning?
- 8. 【論文筆記】Privacy Preserving Image Queries for Camera Localization
- 9. 【論文筆記】：Side-Aware Boundary Localization for More Precise Object Detection
- 10. Side-Aware Boundary Localization for More Precise Object Detection 論文筆記