An improved binocular visual odometry algorithm based on the Random Sample Consensus in visual navigation systems

Sun Qian; Diao Ming; Li Yibing; Zhang Ya

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An improved binocular visual odometry algorithm based on the Random Sample Consensus in visual navigation systems

机译：基于视觉导航系统随机样本共识的改进双目视径算法

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摘要

Purpose - The purpose of this paper is to propose a binocular visual odometry algorithm based on the Random Sample Consensus (RANSAC) in visual navigation systems.

机译：目的 - 本文的目的是基于视觉导航系统中的随机样本共识（RANSAC）提出双目视野算法。

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来源
《Industrial Robot》 |2017年第4期|共10页
作者
Sun Qian; Diao Ming; Li Yibing; Zhang Ya;
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作者单位

Harbin Engn Univ Coll Informat &

Commun Engn Harbin Heilongjiang Peoples R China;

Harbin Engn Univ Coll Informat &

Commun Engn Harbin Heilongjiang Peoples R China;

Harbin Engn Univ Coll Informat &

Commun Engn Harbin Heilongjiang Peoples R China;

Harbin Inst Technol Sch Elect Engn &

Automat Harbin Heilongjiang Peoples R China;

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原文格式 PDF
正文语种 eng
中图分类机器人技术;
关键词
Binocular visual odometry; Feature matching; Features from accelerated segment test (FAST); Random Sample Consensus (RANSAC);

机译：双目视觉径管;特征匹配;加速段测试的功能（快）;随机样本共识（Ransac）;

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专利

1. An improved binocular visual odometry algorithm based on the Random Sample Consensus in visual navigation systems [J] . Sun Qian, Diao Ming, Li Yibing, Industrial Robot . 2017,第4期

机译：基于视觉导航系统随机样本共识的改进双目视径算法
2. Visual Robot Navigation based on Improved Optical Flow Algorithm and Optimized Bessel Curves [J] . Guangzhao Cui, Xu Chen, Jinchao Guo Information Technology Journal . 2014,第14期

机译：基于改进的光流算法和优化贝塞尔曲线的视觉机器人导航
3. Fast lane detection based on bird's eye view and improved random sample consensus algorithm [J] . Ding Yong, Xu Zheng, Zhang Yubin, Multimedia Tools and Applications . 2017,第21期

机译：基于鸟瞰和改进的随机样本一致性算法的快速车道检测
4. Extending the Measurement Error Model of a Direct Visual Odometry Algorithm to Improve its Accuracy for Planetary Rover Navigation [C] . Geovanni Martinez IEEE International Conference on Applied Science and Advanced Technology . 2019

机译：扩展直接视觉里程表算法的测量误差模型以提高其对行星漫游导航的准确性
5. Integrated visual odometry for improved autonomous vehicle navigation [D] . Rahman, Muhammed Tahsin. 2017

机译：集成视觉里程计，可改善自动驾驶导航
6. Robust Stereo Visual Odometry Using Improved RANSAC-Based Methods for Mobile Robot Localization [O] . Yanqing Liu, Yuzhang Gu, Jiamao Li, 2017

机译：使用改进的基于RANSAC的方法进行稳健的立体视觉里程表进行移动机器人定位
7. Structure-aware sample consensus for robust stereo visual odometry [O] . Chun Liu, Zhengning Li, Zhuo Chen, 2017

机译：结构意识到强大的立体视觉测量仪的示例共识

An improved binocular visual odometry algorithm based on the Random Sample Consensus in visual navigation systems

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