为啥写这个

最近快到期末了，论文写作课程要交20篇论文的阅读笔记。虽然这门课非常没意思，但是看这么多论文还是很花时间的，如果不留点啥东西下来，不是很亏嘛。。

标题

不知道是不是SLAM这领域的问题，很多论文的标题格式非常一致。
文章标题大多是 方法名：所针对的任务，从标题中就可以得知该方法是偏向建图还是定位，是直接法还是特征点法等等。
比如：

BAD SLAM: Bundle Adjusted Direct RGB-D SLAM
CubeSLAM: Monocular 3D Object Detection and SLAM without Prior Mode
KinectFusion: Real-Time Dense Surface Mapping and Tracking
ORB-SLAM: a Versatile and AccurateMonocular SLAM System

Abstract

开头第一句大都是we present xxx,用一个长句描述整个系统的特点。
比如:

This paper presents a method of estimating camera pose in an unknown scene.
In this paper, we present an Extended Kalman Filter (EKF)-based algorithm for real-time-vision-aided inertial navigation.
We propose a semi-direct monocular visual odometry algorithm that is precise, robust, and faster than current state-of-the-art methods.

之后是介绍本文的贡献，最后是实验的说明。
比如：

The performance of the algorithm is demonstrated in extensive experimental results, involving a camera/IMU system localizing within an urban area.
The experiments show that the presented approach significantly outperforms state-of-the-art direct and indirect methods in a variety of real-world settings, both in terms of tracking accuracy and robustness
On the collected and public TUM and KITTI odometry datasets, we achieve better pose estimation accuracy over the state-of-the-art monocular SLAM while also improve the 3D object detection accuracy at the same time

最后这里可能还会加上开源说明：

We call our approach SVO (Semi-direct Visual Odometry) and release our implementation as open-source software.
The source code of maplab is freely available for the benefit of the robotics research community

Introduction

第一段主要是介绍背景，当前算法存在的问题，目的是让本文的工作看起来意义重大。
然后会介绍本工作的内容，所提出算法的特点，这里会醒目地分点给出。
比如：
在这里插入图片描述
这里也有一个常见句式To our knowledge,xxx, 然后就开始吹。。。
同时，这里还会给出一张算法的运行效果图。
比如：

有些情况下，introduction 也会包含 relative works, 但我看到大部分还是会将relative works 单独成章。