Robot vision localization system based on image content matching

Tianyang Cao; Haoyuan Cai; Dongming Fang; Chang Liu

doi:10.3969/j.issn.1003-501x.2017.05.008

[1] Fabian J R, Clayton G M. Adaptive visual odometry using RGB-D cameras[C]// Proceedings of 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Besacon, France, 2014: 1533–1538.

[2] Xu Yunxi, Chen Fang. Real-time stereo visual localization based on multi-frame sequence motion estimation[J]. Opto-Electronic Engineering, 2016, 43(2): 89–94.

[3] Wang Han, Mou Wei, Suratno H, et al. Visual odometry using RGB-D camera on ceiling Vision[C]// Proceedings of 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), Guangzhou, China, 2012: 710–714.

[4] Lin Huican, Lü Qiang, Zhang Yang, et al. The sparse and dense VSLAM: a survey[J]. Robot, 2016, 38(5): 621–631.

[5] Tateno K, Tombari F, Navab N. Real-time and scalable incremental segmentation on dense SLAM[C]// Proceedings of 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015: 4465–4472.

[6] Scho ps T, Engel J, Cremers D. Dense planar SLAM[C]// Proceedings of 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Munich, Germany, 2014: 157–164.

[7] Scho ps T, Engel J, Cremers D. Semi-dense visual odometry for AR on a smartphone[C]// Proceedings of 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Munich, Germany, 2014: 140–150.

[8] Engel J, Stuckler J, Cremers D. Large-scale direct SLAM with stereo cameras[C]// Proceedings of 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015: 1935–1942.

[9] Mur-Artal R, Montiel J M M, Tardos J D. ORB-SLAM: a versatile and accurate monocular SLAM system[J]. IEEE Transactions on Robotics, 2015, 31(5): 1147–1163.

[10] Chen Pengjin, Gu Zhaopeng, Zhang Guodong, et al. Ceiling vision localization with feature pairs for home service robots[C]// Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, Bali, Indonesia, 2014: 2274–2279.

[11] Choi H, Kim D Y, Hwang J P, et al. CV-SLAM using ceiling boundary[C]// Proceedings of 2010 the 5th IEEE Conference on Industrial Electronics and Applications (ICIEA), Taichung, China, 2010: 228–233.

[12] Choi H, Kim R, Kim E. An efficient ceiling-view SLAM using relational constraints between landmarks[J]. International Journal of Advanced Robotic Systems, 2014, 11: 4.

[13] Lee S, Lee S, Baek S. Vision-based kidnap recovery with SLAM for home cleaning robots[J]. Journal of Intelligent & Robotic Systems, 2012, 67(1): 7–24.

[14] Pfister S T, Burdick J W. Multi-scale point and line range data algorithms for mapping and localization[C]// Proceedings of 2006 IEEE International Conference on Robotics and Automation (ICRA), Orlando, America, 2006: 1159–1166.

[15] Jeong W, Lee K M. CV-SLAM: a new ceiling vision-based SLAM technique[C]// Proceedings of 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, Edmonton, Canada, 2005: 3195–3200.

[16] Deng Jihong, Wei Yuxing. Location of object based on local feature descriptor[J]. Opto-Electronic Engineering, 2015, 42(1): 58–64.

[17] Huang Wenyou, Xu Xiangmin, Wu Fengqi, et al. Research of underwater binocular vision stereo positioning technology in nuclear condition[J]. Opto-Electronic Engineering, 2016, 43(12): 28–33.

[18] J Zhuo, L Sun, J Shi, et al. Research on a Type of Camera Calibration Method Based on High Precision Detection of X Corners[C]// Proceedings of 2015 8th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, China, 2015: 192–196.