Global Localization for Indoor Mobile Robot Based on Binocular Vision

Peng Li; Yangyang Zhang

doi:10.3788/LOP57.041503

[1] Li Y H. Research on indoor localization technology for mobile robot based on passive beacon[D]. Hangzhou: Zhejiang University(2018).

[2] Martín F, Matellán V, Rodríguez F J et al. Octree-based localization using RGB-D data for indoor robots[J]. Engineering Applications of Artificial Intelligence, 77, 177-185(2019).

[3] Xia H. Research on binocular vision localization system for indoor robot based on natural landmarks[D]. Changchun: Jilin University(2017).

[4] Li X. Research on navigation technology of indoor mobile robot based on SLAM[D]. Harbin: Harbin Institute of Technology(2018).

[5] Huang R M. Design and implementation of global positioning algorithm for mobile robot based on vision[D]. Qinhuangdao: Yanshan University(2017).

[6] Weitzenfeld A, Biswas J, Akar M et al. RoboCup small-size league: past, present and future[M]. ∥Bianchi R, Akin H, Ramamoorthy S, et al. RoboCup 2014: robot world cup XVIII. Lecture notes in computer science. Cham: Springer, 8992, 611-623(2015).

[7] Zhang X. Design and realization of the parallel tracking control system by Client/Server mode for bio-mimetic robotic fish based on global vision[D]. Beijing: China University of Geosciences(2016).

[8] Wang C Y. Design and implementation of vision-based mobile robot localization system[D]. Tianjin: Nankai University(2015).

[9] Chen J. Research on global localization of indoor mobile robot using a static camera[D]. Nanjing: Southeast University(2004).

[10] Zhao W C. Research on real-time visual localizaton for indoor exprimental multiple-robot system[D]. Harbin: Harbin Institute of Technology(2007).

[11] He J. Positioning and distributed control technology of indoor multi-robot system[D]. Nanjing: Nanjing University of Science & Technology(2017).

[12] Lee S, Tewolde G, Lim J et al. Vision based localization for multiple mobile robots using low-cost vision sensor[J]. International Journal of Handheld Computing Research, 7, 12-25(2016).

[13] Krajník T, Nitsche M, Faigl J et al. A practical multirobot localization system[J]. Journal of Intelligent & Robotic Systems, 76, 539-562(2014).

[14] Xu D, Tan M, Li Y[M]. Visual measurement and control for robots(2016).

[15] Jin J J, Lu W L, Guo X T et al. Position registration method of simultaneous phase-shifting interferograms based on SURF and RANSAC algorithms[J]. Acta Optica Sinica, 37, 1012002(2017).

[16] Su J D, Qi X H, Duan X S. Plane pose measurement method based on monocular vision and checkerboard target[J]. Acta Optica Sinica, 37, 0815002(2017).

[17] Zhang Z. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 1330-1334(2000).

[18] Li P, Zhang Y. Video smoke detection based on Gaussian mixture model and convolutional neural network[J]. Laser & Optoelectronics Progress, 56, 211502(2019).

[19] Shao Q K, Zhou Y, Li L et al. Adaptive background subtraction approach of Gaussian mixture model[J]. Journal of Image and Graphics, 20, 756-763(2015).

[20] Stauffer C. Grimson W E L. Learning patterns of activity using real-time tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 747-757(2000).

[21] Liu R, Wang D J, Jia P et al. Point target detection based on omnidirectional morphology filtering and local characteristic criterion[J]. Acta Optica Sinica, 37, 1104001(2017).

[22] Zhang S Y, Li C L. Thick cloud restoration of aerial images based on improved Criminisi algorithm[J]. Laser & Optoelectronics Progress, 55, 121012(2018).

[23] Rosten E, Drummond T. Machine learning for high-speed corner detection[M]. ∥Leonardis A, Bischof H, Pinz A. Computer vision-ECCV 2006. Lecture notes in computer science. Berlin, Heidelberg: Springer, 3951, 430-443(2006).

[24] Wang M, Dai Y P. Local robust feature based on FAST corner detection[J]. Transactions of Beijing Institute of Technology, 33, 1045-1050(2013).