Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.825
JCR 5-Year IF: 0.752
SCOPUS CiteScore: 2.5
Issues per year: 4
Current issue: Aug 2022
Next issue: Nov 2022
Avg review time: 77 days
Avg accept to publ: 48 days
APC: 300 EUR


PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


TRAFFIC STATS

1,971,782 unique visits
787,111 downloads
Since November 1, 2009



Robots online now
PetalBot
bingbot
Googlebot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 22 (2022)
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
 Volume 20 (2020)
 
     »   Issue 4 / 2020
 
     »   Issue 3 / 2020
 
     »   Issue 2 / 2020
 
     »   Issue 1 / 2020
 
 
 Volume 19 (2019)
 
     »   Issue 4 / 2019
 
     »   Issue 3 / 2019
 
     »   Issue 2 / 2019
 
     »   Issue 1 / 2019
 
 
  View all issues  








LATEST NEWS

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

2021-Jun-06
SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

2021-Apr-15
Release of the v3 version of AECE Journal website. We moved to a new server and implemented the latest cryptographic protocols to assure better compatibility with the most recent browsers. Our website accepts now only TLS 1.2 and TLS 1.3 secure connections.

Read More »


    
 

  4/2011 - 3

 HIGH-IMPACT PAPER 

Robust Stereo-Vision Based 3D Object Reconstruction for the Assistive Robot FRIEND

RISTIC-DURRANT, D. See more information about RISTIC-DURRANT, D. on SCOPUS See more information about RISTIC-DURRANT, D. on IEEExplore See more information about RISTIC-DURRANT, D. on Web of Science, GRIGORESCU, S. M. See more information about  GRIGORESCU, S. M. on SCOPUS See more information about  GRIGORESCU, S. M. on SCOPUS See more information about GRIGORESCU, S. M. on Web of Science, GRASER, A. See more information about  GRASER, A. on SCOPUS See more information about  GRASER, A. on SCOPUS See more information about GRASER, A. on Web of Science, COJBASIC, Z. See more information about  COJBASIC, Z. on SCOPUS See more information about  COJBASIC, Z. on SCOPUS See more information about COJBASIC, Z. on Web of Science, NIKOLIC, V. See more information about NIKOLIC, V. on SCOPUS See more information about NIKOLIC, V. on SCOPUS See more information about NIKOLIC, V. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (574 KB) | Citation | Downloads: 1,379 | Views: 4,390

Author keywords
robust robot vision, feedback control in image processing, feature-based object recognition, neuro-fuzzy classification, assistive robot

References keywords
vision(8), systems(8), object(7), robots(6), robotics(6), graeser(6), system(5), robot(5), autonomous(5), robotic(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 15 - 22
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04003
Web of Science Accession Number: 000297764500003
SCOPUS ID: 84856594148

Abstract
Quick view
Full text preview
A key requirement of assistive robot vision is the robust 3D object reconstruction in complex environments for reliable autonomous object manipulation. In this paper the idea is presented of achieving high robustness of a complete robot vision system against external influences such as variable illumination by including feedback control of the object segmentation in stereo images. The approach used is to change the segmentation parameters in closed-loop so that object features extraction is driven to a desired result. Reliable feature extraction is necessary to fully exploit a neuro-fuzzy classifier which is the core of the proposed 2D object recognition method, predecessor of 3D object reconstruction. Experimental results on the rehabilitation assistive robotic system FRIEND demonstrate the effectiveness of the proposed method.


References | Cited By  «-- Click to see who has cited this paper

[1] D. Kim, R. Lovelett, A. Behal, "An empirical study with simulated adl tasks using vision-guided assistive robot arm", in Proc. of the IEEE 11th Int. Conf. on Rehabilitation Robotics ICORR, Japan, 2009.
[CrossRef] [SCOPUS Times Cited 24]


[2] D. Kragic, H. I. Christensen, "Advances in robot vision", Robotics and Autonomous Systems, vol. 52, pp. 1-3, 2005.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 19]


[3] S. Hussmann and T. Liepert, "Robot Vision System based on a 3D-TOF Camera", Instrumentation and Measurement Technology Conference-IMTC 2007, Warsaw, Poland, 2007.
[CrossRef] [SCOPUS Times Cited 29]


[4] S. Gaechter, A. Harati and R. Siegwart, "Incremental Object Part Detection toward Object Classification in a Sequence of Noisy Range Images", in Proc. of IEEE International Conference on Robotics and Automation ICRA 2008, 2008.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 12]


[5] G. Mester, A. Rodic, Autonomous Locomotion of Humanoid Robots in Presence of Mobile and Immobile Obstacles, Towards Intelligent Engineering and Information Technology, Studies in Computational Intelligence, Volume 243, 2009.
[CrossRef] [SCOPUS Times Cited 4]


[6] T. Asfour, P. Azad, N. Vahrenkamp, K. Regenstein, A. Bierbaum, K. Welke, J. Schroder, R. Dillmann, Toward humanoid manipulation in human-centered environments, Robotics and Autonomous Systems, vol. 56, no. 1, pp. 54-65, 2008.
[CrossRef] [Web of Science Times Cited 79] [SCOPUS Times Cited 101]


[7] D. G. Lowe, "Distinctive image features from scale-invariant keypoints", Int. Journal of Computer Vision, vol. 60, no. 2, 2004.
[CrossRef] [Web of Science Times Cited 31195] [SCOPUS Times Cited 42930]


[8] D. Kragic, Bjoerman, H. Christensen, J.-O. Eklundh, "Vision for robotic object manipulation in domestic settings", Robotics and Autonomous Systems, vol. 52, pp. 85-100, 2005.
[CrossRef] [Web of Science Times Cited 59] [SCOPUS Times Cited 74]


[9] M. Sridharan, P. Stone, "Structure-based color learning on a mobile robot under changing illumination", Autonomous Robots Journal, vol. 23, pp. 161-182, 2007.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 13]


[10] O. Ivlev, C. Martens, A. Graeser, "Rehabilitation robots FRIEND-I and FRIEND-II with the dexterous lightweight manipulator", Restoration of Wheeled Mobility in SCI Rehabilitation, vol. 17, pp. 111-123, 2005.

[11] O. Prenzel, C. Martens, M. Cyriacks, C. Wang, A. Graeser, "System controlled user interaction within the service robotic control architecture MASSiVE", Robotica, Special Issue, vol. 25, no. 2, 2007.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 13]


[12] D. Ojdanic, A. Graeser, "Improving the trajectory quality of a 7 DoF manipulator", in Proc. of the Robotik Conf., Munich, Germany, 2008.

[13] S. K. Vuppala, S. M. Grigorescu, D. Ristic-Durrant, A. Graeser, "Robust color object recognition for a service robotic task in the system FRIEND II", in Proc. of the IEEE 10th Int. Conf. on Rehabilitation Robotics ICORR, Noordwijk, Netherlands, 2007.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 12]


[14] P. Melin, O. Castillo, Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing, Springer-Verlag, 2005.

[15] P. Sanz, M. R., J. Sanchez, "Including efficient object recognition capabilities in online robots: From a statistical to a neural-network classifier", IEEE Trans. on Systems, Man and Cybernetics Part C: Applications and Reviews, vol. 35, no. 1, pp. 87-96, 2005.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 15]


[16] R. Jang, C-T. Sun, E. Mizutani, Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence, Prentice Hall, 1997.

[17] E. Dogantekin, M. Yilmaz, A. Dogantekin, E. Avci, A. Sengur, "A robust technique based on invariant moments - ANFIS for recognition of human parasite eggs in microscopic images", Expert Systems with Applications, vol. 35, no. 3, pp. 728-738, 2008.
[CrossRef] [Web of Science Times Cited 37] [SCOPUS Times Cited 53]


[18] R. Hartley, A. Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, 2004.
[CrossRef]


[19] S. K. Vuppala, A. Graeser, "An approach for tracking the 3d object pose using two object points", in Proc. of the Int. Conf. on Vision Systems ICVS, Santorini, Greece, 2008.
[CrossRef] [SCOPUS Record]


[20] D. Ristic, Feedback structures in image processing, Ph.D. thesis, Shaker Verlag, Germany, 2007.

[21] D. Ristic, A. Graser, "Performance measure as feedback variable in image processing", EURASIP Journal on Applied Signal Processing, vol. 2006, 2006.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 10]


[22] S. M. Grigorescu, D. Ristic-Durrant, A. Graeser, "ROVIS: Robust machine Vision for Service robotic system FRIEND", in Proc. of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, USA, October, 2009.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 17]


[23] M. Sridharan, "Bootstrap Learning and Visual Processing Management on Mobile Robots", Advances in Artificial Intelligence, vol. 2010, 2010.
[CrossRef]


[24] C. Suliman, C. Cruceru, F. Moldoveanu, "Kalman filter based tracking in an video surveillance system", Advances in Electrical and Computer Engineering, vol. 10, no. 2, pp. 30-34, 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 9] [SCOPUS Times Cited 12]


References Weight

Web of Science® Citations for all references: 31,434 TCR
SCOPUS® Citations for all references: 43,338 TCR

Web of Science® Average Citations per reference: 1,310 ACR
SCOPUS® Average Citations per reference: 1,806 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-09-23 00:55 in 117 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2022
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: