VANISHING POINT AIDED LANE DETECTION USING A MULTI-SENSOR SYSTEM by Z. Zhang, G. Kang, M. Ai, N. El-Sheimy

“…To address these issues, we proposed a vanishing point aided lane detection method that utilizes both camera and LiDAR sensors, and then employs a RANSAC-based post-processing method to remove potential outliers to improve the accuracy of the detected lanes. …”
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Development of Cell Guide Quality Management System for Container Ships by Bong-Rae Park, Hyun-Cheol Kim

“…The trimmed point cloud is used in a simulation for cell guide quality inspection. The RANSAC (Random Sample Consensus) algorithm is used for the transverse section representation of a cell guide at a certain height and applied for the calculation of the intervals between the cell guides and container. …”
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Line-Features-Based Pose Estimation Method for the Disc Cutter Holder of Shield Machine by Zhe Xie, Guoli Zhu, Dailin Zhang, Dandan Peng, Jinlong Hu, Yueyu Sun

“…By preprocesses on the edge points of each edge, the efficiency and the accuracy of RANSAC linear fitting are improved. The experimental result shows that the proposed pose estimation method is highly reliable and can meet the measurement accuracy requirements in practical engineering applications.…”
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A STUDY ON AUTOMATIC UAV IMAGE MOSAIC METHOD FOR PAROXYSMAL DISASTER by M. Li, D. Li, D. Fan

“…Firstly, the original images will not be zoomed in to be 2 times larger ones at the initial course of SIFT operator, and the total number of the pyramid octaves in scale space is reduced to speed up the matching process; sequentially, RANSAC(Random Sample Consensus) is used to eliminate the mismatching tie points. …”
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Multi-Frame Based Homography Estimation for Video Stitching in Static Camera Environments by Keon-woo Park, Yoo-Jeong Shim, Myeong-jin Lee, Heejune Ahn

“…After matching representative feature points from each camera, the homography for the interval is estimated by random sample consensus (RANSAC) on the matched representative feature points, with their chances of being sampled proportional to their numbers of occurrences in the interval. …”
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Development of Mobile Mapping System for 3D Road Asset Inventory by Nivedita Sairam, Sudhagar Nagarajan, Scott Ornitz

“…After validating the quality of the derived data, the paper provides a framework to extract road assets both automatically and manually using techniques implementing RANSAC plane fitting and edge extraction algorithms. …”
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Binary Feature Description of 3D Point Cloud Based on Retina-like Sampling on Projection Planes by Zhiqiang Yan, Hongyuan Wang, Xiang Liu, Qianhao Ning, Yinxi Lu

“…Finally, rough registration of point clouds is performed based on the RSPP descriptor, and the RANSAC algorithm is used to optimize the registration results. …”
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An Adaptive ORB-SLAM3 System for Outdoor Dynamic Environments by Qiuyu Zang, Kehua Zhang, Ling Wang, Lintong Wu

“…Finally, dynamic regions are determined using a geometric method based on Lucas-Kanade optical flow and the RANSAC algorithm. We evaluate the accuracy of our system using the KITTI dataset, comparing it to various dynamic feature point selection strategies and DynaSLAM. …”
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Large-Scale Aircraft Pose Estimation System Based on Depth Cameras by Yubang Yang, Shuyu Sun, Jianqiang Huang, Tengchao Huang, Kui Liu

“…The scale of the point clouds is reduced, and coarse registration of the point clouds is performed by feature matching and random sample consensus (RANSAC) mismatching. The robustness of the algorithm is improved, and the initial pose estimation is achieved for the precise registration of point clouds. …”
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Segmentación y parametrización de líneas en datos láser 2D basado en agrupamiento por desplazamiento de media by Julie Stephany Berrío, Lina María Paz, Eduardo Caicedo Bravo

“…Each grouped set of points is processed by a modified RANSAC (Random Sample and Consensus) algorithm. This method involves the construction of model assumptions from minimal data subsets chosen at random and evaluates their validity supported by the whole of data, while the associated probability densities are updated. …”
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Vehicular Electronic Image Stabilization System Based on a Gasoline Model Car Platform by Ning Zhang, Yuan Yang, Jianhua Wu, Ziqian Zhao, Guodong Yin

“…Furthermore, a novel improved random sampling consensus algorithm (i-RANSAC) is proposed to eliminate mismatched feature points and increase the matching accuracy significantly. …”
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Determining Chess Game State from an Image by Georg Wölflein, Ognjen Arandjelović

“…It localises the chessboard using a RANSAC-based algorithm that computes a projective transformation of the board onto a regular grid. …”
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Accuracy Analysis of Visual Odometer for Unmanned Rollers in Tunnels by Hao Huang, Xuebin Wang, Yongbiao Hu, Peng Tan

“…We evaluate and compare the performance of various feature extraction and matching methods, followed by the application of random sample consensus (RANSAC) to eliminate false matches. Subsequently, Perspective-n-Points (PnP) was employed to establish a minimal-error analysis for pose estimation and trajectory analysis. …”
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An OSM Data-Driven Method for Road-Positive Sample Creation by Jiguang Dai, Chengcheng Li, Yuqiang Zuo, Haibin Ai

“…Finally, a local texture self-similarity (LTSS) model is implemented to determine the road width, and the centerpoint autocorrection model and random sample consensus (RANSAC) algorithm are used to extract the road centerline; the road width and road centerline are used to complete the creation of the road-positive samples. …”
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Improving Performance of Seismic Fault Detection by Fine-Tuning the Convolutional Neural Network Pre-Trained with Synthetic Samples by Zhe Yan, Zheng Zhang, Shaoyong Liu

“…We use a random sample consensus (RANSAC) method to obtain real seismic samples and generate corresponding labels automatically. …”
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Automatic Registration Of SAR And Optical Image Based On Line And Graph Spectral Theory by J. Zhao, S. Gao, H. Sui, Y. Li, L. Li

“…The original corresponding point sets are determined by corresponding voronoi diagrams, which can be obtained by Graph Spectral Theory. At last, RANSAC is used to remove the wrong corresponding points. …”
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HAGR-D: A Novel Approach for Gesture Recognition with Depth Maps by Diego G. Santos, Bruno J. T. Fernandes, Byron L. D. Bezerra

“…This paper proposes a novel approach for hand gesture recognition with depth maps generated by the Microsoft Kinect Sensor (Microsoft, Redmond, WA, USA) using a variation of the CIPBR (convex invariant position based on RANSAC) algorithm and a hybrid classifier composed of dynamic time warping (DTW) and Hidden Markov models (HMM), called the hybrid approach for gesture recognition with depth maps (HAGR-D). …”
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A leaf image localization based algorithm for different crops disease classification by Yashwant Kurmi, Suchi Gangwar

“…In order to refine the leaf boundary and the disease-affected areas, we employed a random sample consensus (RANSAC) for suitable curve fitting. The feature sets using bag of visual words, Fisher vectors, and handcrafted features are extracted followed by classification using logistic regression, multilayer perceptron model, and support vector machine. …”
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Improving Vehicle Heading Angle Accuracy Based on Dual-Antenna GNSS/INS/Barometer Integration Using Adaptive Kalman Filter by Hongyuan Jiao, Xiangbo Xu, Shao Chen, Ningyan Guo, Zhibin Yu

“…A random sample consensus (RANSAC) method is proposed to improve the initial heading angle accuracy applied to the INS update. …”
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Outlier-Robust Multi-View Triangulation Using Graduated Non-Convexity for Space Vehicle Navigation by Mitchell, Adriana Macieira

“…We apply Yang et al.’s (2020) Graduated Non-Convexity (GNC) algorithm to three chosen multi-view triangulation solvers and improve the best performing solver’s robustness to 50% outliers which outperforms the current state-of-the-art outlier removal method RANSAC. We apply the robust multi-view triangulation solver to a simulated lunar landing trajectory and reported the variance of the returned 3D error to verify the accuracy of the estimate. …”
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