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Journal of Robotics
Volume 2015, Article ID 720174, 10 pages
Research Article

Obstacles Regions 3D-Perception Method for Mobile Robots Based on Visual Saliency

Tao Xu,1,2,3,4 Songmin Jia,1,3,4 Zhengyin Dong,1,3,4 and Xiuzhi Li1,3,4

1College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China
2School of Mechanical and Electrical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China
3Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing 100124, China
4Engineering Research Center of Digital Community, Ministry of Education, Beijing 100124, China

Received 19 August 2015; Revised 19 November 2015; Accepted 19 November 2015

Academic Editor: Keigo Watanabe

Copyright © 2015 Tao Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Ismail Ben Abdallah, Yassine Bouteraa, and Chokri Rekik, “Kinect-Based Sliding Mode Control for Lynxmotion Robotic Arm,” Advances in Human-Computer Interaction, vol. 2016, pp. 1–10, 2016. View at Publisher · View at Google Scholar
  • Yassine Bouteraa, and Ismail Ben Abdallah, “A gesture-based telemanipulation control for a robotic arm with biofeedback-based grasp.,” Industrial Robot: An International Journal, pp. 00–00, 2017. View at Publisher · View at Google Scholar
  • Zhigang Wang, Ke Zhang, Yixin Chen, Zhifeng Luo, and Jian Zheng, “A real-time weld line detection for derusting wall-climbing robot using dual cameras,” Journal of Manufacturing Processes, vol. 27, pp. 76–86, 2017. View at Publisher · View at Google Scholar