An MICP Algorithm for 3D Map Reconstruction Based on 3D Cloud Information of Landmarks

J. Fuentes-Pacheco, “Visual simultaneous localization and mapping: A survey,” Springer Science - Business Media Dordrec, pp. 55–81, 2015.

X. Liu, B. Guo and C. Meng, “A method of simultaneous location and mapping based on RGB-D cameras,” in The 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 1-5, 2016.

R. Z. M. Dr. Wael R. Abdulmajeed, “Comparison Between 2D and 3D Mapping for Indoor Environments,” International Journal of Engineering Research and Technology, vol. 2, pp. 1-8, 2013.

Nguyen Thanh Hai, N T Hung, “A Bayesian Recursive Algorithm for Freespace Estimation Using a Stereoscopic Camera System in an Autonomous Wheelchair,” American J. of Biomedical Eng, vol. 1, pp. 44-54, 2011.

N B Viet, N T Hai, N V Hung, “Tracking Landmarks for Control of an Electric Wheelchair Using a Stereoscopic Camera System,” in The Inter. Conf. on Advanced Tech for Communications, pp. 12-17, 2013.

Guanyuan Feng, Lin Ma, and Xuezhi Tan, “Visual Map Construction Using RGB-D Sensors for Image-Based Localization in Indoor Environments,” Journal of Sensors, vol. 2017, pp. 1-18, 2017.

B. Yuan and Y. Zhang, "A 3D Map Reconstruction Algorithm in Indoor Environment Based on RGB-D Information," in The 15th International Symposium on Parallel and Distributed Computing (ISPDC), pp. 358-363, 2016.

Thomas Whelan, Michael Kaess, Hordur Johannsson, Maurice Fallon, John J. Leonard, John McDonald, “Real-time large-scale dense RGB-D SLAM with volumetric fusion,” The International Journal of Robotics Research, vol. 34, pp. 598 – 626, 2014.

P. J. Besl and N. D. McKay, "A method for registration of 3-D shapes," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 14, pp. 239-256, 1992.

Izadi, et. all, “KinectFusion: Real-time 3D reconstruction and interaction using a moving depth camera”, Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, pp. 559-568, 2011.

Y Chen, G Medioni, “Object Modeling by Registration of Multiple Range Images”, Image and Vis. Computing, vol. 10, pp. 145-155, 1992.

Niloy J. Mitra, N. Gelfand, Helmut Pottmann, Leonidas J. Guibas, “Registration of Point Cloud Data from a Geometric Optimization Perspective”, ACM International Conference Proceeding Series, vol.71, pp. 23-32, 2004.

G. Hu, S. Huang, L. Zhao, A. Alempijevic and G. Dissanayake, "A robust RGB-D SLAM algorithm," RSJ International Conference on Intelligent Robots and Systems, pp. 1714-1719, 2012.

B. Yuan and Y. Zhang, “A 3D Map Reconstruction Algorithm in Indoor Environment Based on RGB-D Information,” in 15th International Symposium on Parallel and Distributed Computing (ISPDC), pp. 358-363, 2016.

S. Zhang and S. Qin, "An Approach to 3D SLAM for a Mobile Robot in Unknown Indoor Environment towards Service Operation," Chinese Automation Congress (CAC), pp. 2101-2105, 2018.

F. Endres, J. Hess, J. Sturm, D. Cremers and W. Burgard, "3-D Mapping With an RGB-D Camera," in IEEE Transactions on Robotics, vol. 30, pp. 177-187, 2014.

G. Loianno, V. Lippiello and B. SicilianO, “Fast localization and 3D mapping using an RGB-D sensor,” in 16th International Conference on Advanced Robotics (ICAR), pp. 1-6, 2013.

Huang A.S. et al, “Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera,” in Christensen H., Khatib O. (eds) Robotics Research, Springer Tracts in Advanced Robotics, vol. 100, pp. 235-252, 2017.

P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox, “RGB-D mapping: Using kinect-style depth cameras for dense 3d modeling of indoor environments,” The International Journal of Robotics Research, vol. 31, pp. 647–663, 2012.

H. Jo, S. Jo, H. M. Cho and E. Kim, “Efficient 3D mapping with RGB-D camera based on distance dependent update,” in 2016 16th International Conference on Control, Automation and Systems (ICCAS), pp. 873-875, 2016.

Aguilar, Wilbert & Morales, Stephanie, “3D Environment Mapping Using the Kinect V2 and Path Planning Based on RRT Algorithms”, Electronics, vol. 5, pp. 1-17, 2016.

Hai T. Nguyen, Viet B. Ngo, Hai T. Quach, “Optimization of Transformation Matrix for 3D Cloud Mapping Using Sensor Fusion”, American Journal of Signal Processing, vol. 8, pp. 9-19, 2018.

C. Lim Chee, S. N. Basah, S. Yaacob, M. Y. Din, and Y. E. Juan, “Accuracy and reliability of optimum distance for high performance Kinect Sensor,” in Biomedical Engineering (ICoBE), 2nd International Conference on, pp. 1-7, 2015.

T. Yamaguchi, T. Emaru, Y. Kobayashi and A. A. Ravankar, “3D map-building from RGB-D data considering noise characteristics of Kinect,” in International Symposium on System Integration (SII), pp. 379-384, 2016.

K. Lee, “Accurate Continuous Sweeping Framework in Indoor Spaces with Backpack Sensor System for Applications to 3D Mapping,” The IEEE Robotics and Automation Letters, vol. 1, pp. 316-323, 2016.

R. B. Rusu and S. Cousins, "3D is here: Point Cloud Library," IEEE International Conference on Robotics and Automation, pp. 1-4, 2011.

Xian-Feng Han. et. all, “A review of algorithms for filtering the 3D point cloud”, Signal Processing: Image Communication, vol. 57, pp. 103-112, 2017.

Rusu, R.B, “Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments”, Künstl Intell, vol. 24, pp. 345–348, 2010.

Nguyen Tan Nhu, Nguyen Thanh Hai, “Landmark-Based Robot Localization Using a Stereo Camera System”, American Journal of Signal Processing, vol. 5, pp. 40-50, 2015.

Ba-Viet Ngo, Thanh-Hai Nguyen, “Dense Feature -based Landmark Identification for Mobile Platform Localization”, IJCSNS International Journal of Computer Science and Network Security, vol.18, pp. 186-200, 2018.

Bay H, Tuytelaars T, Van Gool L, “SURF: Speeded Up Robust Features”, In: Leonardis A., Bischof H., Pinz A. (eds) Computer Vision – ECCV Lecture Notes in Comp. Science, Springer, vol. 3951, 2006.

Liao Chengwang, “Singular Value Decomposition in Active Monitoring Data Analysis”, Handbook of Geophysical Exploration: Seismic Exploration, vol. 40, pp. 421-430, 2010.