Publisher of Iranian Journals and Conference Proceedings

Please waite ..
Publisher of Iranian Journals and Conference Proceedings
Login |Register |Help |عضویت کتابخانه ها

Vision-Based Nao Robot Localization Using Gaussian Approach

پنجمین کنفرانس ملی مهندسی برق و الکترونیک ایران
Year: 1392
COI: ICEEE05_475
Language: EnglishView: 874
This Paper With 5 Page And PDF Format Ready To Download

Buy and Download

با استفاده از پرداخت اینترنتی بسیار سریع و ساده می توانید اصل این Paper را که دارای 5 صفحه است به صورت فایل PDF در اختیار داشته باشید.
آدرس ایمیل خود را در کادر زیر وارد نمایید:


Hafez Eslami - University of Isfahan
Kamal Jamshidi - University of Isfahan
Behnam Torabi - University of Isfahan
Hamed Shahbazi - University of Isfahan


In this paper a vision-based self-localization method for Nao humanoid robot is proposed. We achieve a 2D position of robot using a monocular vision with likelihood estimation of Gaussian model. In general, due to noisy environment and sensor errors most recognized features are not accurate and these errors lead to inaccuracy in localizing robot. In this research, Gaussian distribution is used to deal with these uncertainties. The results of this research can also be used in probabilistic approaches for localization which are among the most acceptable approach of localization today. This project is implemented in Webots simulation environment.


Paper COI Code

This Paper COI Code is ICEEE05_475. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Eslami, Hafez and Jamshidi, Kamal and Torabi, Behnam and Shahbazi, Hamed,1392,Vision-Based Nao Robot Localization Using Gaussian Approach,5th iranian conference on electrical and electronic engineering,Gonabad,

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :

  • _ _ _ _ Using Kalman Filters ...
  • C Chun-Hua, W Shao-Clhen and _ Chieh-Chih, "Vision-Based _ _ ...
  • J. Gutmann, W. Hatzack, I. Herrmann, B. Nebel, F. Rittinger, ...
  • _ Durrant-Whyte and T. Bailey, "Simultaneous Localisation and Mapping (SLAM): ...
  • S. Se, D. Low and J. Little, "Vision-based Mobile Robot ...
  • _ _ _ Robot", 24th Chines Control and Decision Conference, ...
  • M. Sridharan, G. Kuhlmann and P. Stone, "Practical Vision-Based _ ...
  • H. Mellmann, M. Jungel and M. Spranger, "Using Reference Objects ...
  • P. Khandelwal, M. Hausknecht, J. Lee, A. Tian and P ...
  • _ _ _ _ Particle Filter and iterative SIFT", Robotics ...
  • J.M.I. Zannatha, R.C. Limon, A.D. G. Sanchez, E. H. Castillo, ...

Research Info Management

Certificate | Report | من نویسنده این مقاله هستم

اطلاعات استنادی این Paper را به نرم افزارهای مدیریت اطلاعات علمی و استنادی ارسال نمایید و در تحقیقات خود از آن استفاده نمایید.


The specifications of the publisher center of this Paper are as follows:
Type of center: دانشگاه دولتی
Paper count: 20,208
In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.

New Papers

New Researchs

Share this page

More information about COI

COI stands for "CIVILICA Object Identifier". COI is the unique code assigned to articles of Iranian conferences and journals when indexing on the CIVILICA citation database.

The COI is the national code of documents indexed in CIVILICA and is a unique and permanent code. it can always be cited and tracked and assumed as registration confirmation ID.