Compact rover surveying and laser scanning for BIM development. by Syed Riaz Un Nabi Jafri, Syed Murtaza Hussain, Asif Ahmed, Syed Asher Hussain Rizvi, Kumayl Hassan Kazmi, Jamshed Iqbal

“…Later the structural planes extraction from the point cloud data has been done using Random Sampling and Consensus (RANSAC) technique. Finally the 2D floor plan and 3D building model have been developed using point cloud processing in appropriate software. …”
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Unstructured Road Segmentation Based on Road Boundary Enhancement Point-Cylinder Network Using LiDAR Sensor by Zijian Zhu, Xu Li, Jianhua Xu, Jianhua Yuan, Ju Tao

“…Firstly, we use the improved RANSAC-Boundary algorithm to calculate the rough road boundary point set, training in the same parameters with the original point cloud as a submodule. …”
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Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection by Yang, Heng, Antonante, Pasquale, Tzoumas, Vasileios, Carlone, Luca

“…Our solvers are robust to 70-80% of outliers, outperform RANSAC, are more accurate than specialized local solvers, and faster than specialized global solvers. …”
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A Quaternion-Based Certifiably Optimal Solution to the Wahba Problem With Outliers by Yang, Heng, Carlone, Luca

“…We validate the proposed algorithm, named QUASAR (QUAternion-based Semidefinite relAxation for Robust alignment), in both synthetic and real datasets showing that the algorithm outperforms RANSAC, robust local optimization techniques, global outlier-removal procedures, and Branch-and-Bound methods. …”
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A Polynomial-time Solution for Robust Registration with Extreme Outlier Rates by Yang, Heng, Carlone, Luca

“…We validate the proposed algorithm, named TEASER (Truncated least squares Estimation And SEmidefinite Relaxation), in standard registration benchmarks showing that the algorithm outperforms RANSAC and robust local optimization techniques, and favorably compares with Branch-and-Bound methods, while being a polynomial-time algorithm. …”
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A framework for fast and robust visual odometry by Wu, Meiqing, Lam, Siew-Kei, Srikanthan, Thambipillai

“…Finally, an early termination condition for the random sample consensus (RANSAC) algorithm is integrated with the Gauss-Newton optimization scheme to enable rapid convergence of the motion estimation process while achieving robustness. …”
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Image processing for TPEF/SHG laser scanning microscope by Tham, Yi Hui

“…These interest points are then described by SIFT algorithm for the purpose of matching interest points of one image to that of another image. Using RANSAC, a homography transformation between two images is estimated from the set of matching interest points. …”
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Mobile visual search and applications by Hu, Mengjiao

“…Geometric verification using RANdom Sample Consensus (RANSAC) method is applied to selected image. Then the query result is sent to client side. …”
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Towards real-time forest inventory using handheld LiDAR by Proudman, A, Ramezani, M, Digumarti, ST, Chebrolu, N, Fallon, M

“…The DBH is estimated online by fitting a cylinder to each tree trunk through a least-squares optimization within a RANSAC loop. We demonstrate our mapping approach operating in two different forests (both ecological and commercial) with the total travel distance spanning several kilometres. …”

Parametric Classification of Furniture From Point Cloud Developed Using Low Cost Trolley Based Laser Scanning System by Syed Riaz Un Nabi Jafri, Shahzad Azam Hashmi, Amna Shabbir, Syed Agha Hassnain Mohsan, Myriam Hadjouni, Samih M. Mostafa

“…While classification of the furniture present in point cloud has been done in offline mode using Random Sampling and Consensus (RANSAC) based parametric segmentation technique. The innovative furniture detection has applied on each scan in order to reduce the region of interest in the developed point cloud. …”
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A Robust Noise Mitigation Method for the Mobile RFID Location in Built Environment by Changfeng Jing, Tiancheng Sun, Qiang Chen, Mingyi Du, Mingshu Wang, Shouqing Wang, Jian Wang

“…To achieve robust noise detection results, we employed the powerful noise detection capability of the random sample consensus (RANSAC) algorithm. Our experiments demonstrate the effectiveness and advantages of the proposed method for the localization and noise mitigation in a large area. …”
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Thermal Drift Correction for Laboratory Nano Computed Tomography via Outlier Elimination and Feature Point Adjustment by Mengnan Liu, Yu Han, Xiaoqi Xi, Siyu Tan, Jian Chen, Lei Li, Bin Yan

“…The two-dimensional (2D) transmission imaging experiments reveal that the proposed method provides more accurate and robust results than the random sample consensus (RANSAC) and locality preserving matching (LPM) methods. …”
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A Fast Robot Identification and Mapping Algorithm Based on Kinect Sensor by Liang Zhang, Peiyi Shen, Guangming Zhu, Wei Wei, Houbing Song

“…Then, the improved RANdom SAmple Consensus (RANSAC) estimation method is adopted in the motion transformation. …”
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GACM: A Graph Attention Capsule Model for the Registration of TLS Point Clouds in the Urban Scene by Jianjun Zou, Zhenxin Zhang, Dong Chen, Qinghua Li, Lan Sun, Ruofei Zhong, Liqiang Zhang, Jinghan Sha

“…In the test process of the registration, the points in the neighborhood of each keypoint were sent to the trained network, in order to obtain feature descriptors and calculate the rotation and translation matrix after constructing a K-dimensional (KD) tree and random sample consensus (RANSAC) algorithm. Experiments show that the proposed method achieves more efficient registration results and higher robustness than other frontier registration methods in the pairwise registration of point clouds.…”
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Inventory of close-to-nature forest stands using terrestrial mobile laser scanning by Karel Kuželka, Róbert Marušák, Peter Surový

“…The diameters were estimated using a modified random sample consensus (RANSAC) algorithm. We tested a series of intensity thresholds for filtering returns from green vegetation. …”
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A New Method for Automatic Extraction and Analysis of Discontinuities Based on TIN on Rock Mass Surfaces by Xiang Wu, Fengyan Wang, Mingchang Wang, Xuqing Zhang, Qing Wang, Shuo Zhang

“…Finally, the random sampling consistency (RANSAC) method is used to fit the discontinuities and to calculate their parameters. …”
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Laser Scanner–Based Deformation Analysis Using Approximating B-Spline Surfaces by Corinna Harmening, Christoph Hobmaier, Hans Neuner

“…Using these point correspondences, a RANSAC-approach is used to robustly estimate the parameters of the rigid body movement. …”
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A Stereo-Vision-Based Spatial-Positioning and Postural-Estimation Method for Miniature Circuit Breaker Components by Ziran Wu, Zhizhou Bao, Jingqin Wang, Juntao Yan, Haibo Xu

“…Meanwhile, Random Sample Consensus (RANSAC), which effectively solves the local optimal problem in the classic ICP algorithm, is employed to remove the incorrectly matching point pairs for further precision improvement. …”
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About Methods for Classifying Hidden Language Concepts in Specialized Texts Involving Pseudoinverse, Clustering and Data Grouping by Iurii Krak, Anatoliy Kulias, Valentina Petrovych, Vladyslav Kuznetsov

“…A series of experiments were performed on test examples, in particular, for the determination of informational density in the text and classification by keywords in specialized texts using the method of random samples consensus (RANSAC). A method of classification of hidden language concepts was proposed, making use of clustering methods (K-means). …”
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Design and Development of a Low-Cost UGV 3D Phenotyping Platform with Integrated LiDAR and Electric Slide Rail by Shuangze Cai, Wenbo Gou, Weiliang Wen, Xianju Lu, Jiangchuan Fan, Xinyu Guo

“…The phenotype analysis system realized single plant segmentation and pipeline extraction of plant height and maximum crown width of the crop point cloud using the Random sampling consistency (RANSAC), Euclidean clustering, and k-means clustering algorithm. …”
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