在好例子网,分享、交流、成长!
您当前所在位置:首页Others 开发实例一般编程问题 → 视觉里程计的经典入门教程

视觉里程计的经典入门教程

一般编程问题

下载此实例
  • 开发语言:Others
  • 实例大小:6.19M
  • 下载次数:8
  • 浏览次数:74
  • 发布时间:2021-02-14
  • 实例类别:一般编程问题
  • 发 布 人:好学IT男
  • 文件格式:.pdf
  • 所需积分:2
 

实例介绍

【实例简介】
苏黎世大牛写的
What is visual Odometry(VO)? vo is the process of incrementally estimating the pose of the vehicle by examining the changes that motion induces on the images of its onboard cameras ====-====山===-=2= 画画画 R0,R1,…,R2 Ⅲ;「 0,t1,…,t Assumptions Sufficient illumination in the environment Dominance of static scene over moving objects Enough texture to allow apparent motion to be extracted Sufficient scene overlap between consecutive frames Why vo? Contrary to wheel odometry, vo is not affected by wheel slip in uneven terrain or other adverse conditions More accurate trajectory estimates compared to wheel odometry (relative position error 0./0) vo can be used as a complement to wheel odometry GPS inertial measurement units(IMUs RTK GPS laser odometry Visual Odometry 10 sta 0 In gPs-denied environments 10 such as underwater and aerial 20 Vo has utmost importance 20 -40 y(m) 60 -40 60 x(m) 80 -80 Working Principle 电组出 R t VO Flow chart vo computes the camera path incrementally (pose after pose) k+1 k+1,k VO Drift The errors introduced by each new frame-to-frame motion accumulate over time k+l This generates a drift of the estimated trajectory from the real path k+Lk kk-I k-1 The uncertainty of the camera pose at CK is a combination of the uncertainty at Ck-1(black solid ellipse)and the uncertainty of the transformation Tk.k-1(gray dashed ellipse) VO or Structure from Motion(SFM)?(1 2) SFM is more general than vo and tackles the problem of 3d reconstruction of both the structure and camera poses from unordered image sets the final structure and camera poses are typically refined with an offline optimization (i. e bundle adjustment, whose computation time grows with the number of images Paper:“ Building rome in a day”,CCVo9 VO or Structure from Motion(SFM)?(2/2) > Vo is a particular case of sFm vo focuses on estimating the 3d motion of the camera sequentially(as a new frame arrives )and in real time Bundle adjustment can be used (but it's optional to refine the local estimate of the trajectory terminology sometimes SFM is used as a synonym of vo 【实例截图】
【核心代码】

标签:

实例下载地址

视觉里程计的经典入门教程

不能下载?内容有错? 点击这里报错 + 投诉 + 提问

好例子网口号:伸出你的我的手 — 分享

网友评论

发表评论

(您的评论需要经过审核才能显示)

查看所有0条评论>>

小贴士

感谢您为本站写下的评论,您的评论对其它用户来说具有重要的参考价值,所以请认真填写。

  • 类似“顶”、“沙发”之类没有营养的文字,对勤劳贡献的楼主来说是令人沮丧的反馈信息。
  • 相信您也不想看到一排文字/表情墙,所以请不要反馈意义不大的重复字符,也请尽量不要纯表情的回复。
  • 提问之前请再仔细看一遍楼主的说明,或许是您遗漏了。
  • 请勿到处挖坑绊人、招贴广告。既占空间让人厌烦,又没人会搭理,于人于己都无利。

关于好例子网

本站旨在为广大IT学习爱好者提供一个非营利性互相学习交流分享平台。本站所有资源都可以被免费获取学习研究。本站资源来自网友分享,对搜索内容的合法性不具有预见性、识别性、控制性,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,平台无法对用户传输的作品、信息、内容的权属或合法性、安全性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论平台是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二与二十三条之规定,若资源存在侵权或相关问题请联系本站客服人员,点此联系我们。关于更多版权及免责申明参见 版权及免责申明

;
报警