Results 51 to 60 of about 30,930 (225)

An Improved RANSAC-ICP Method for Registration of SLAM and UAV-LiDAR Point Cloud at Plot Scale

Forests
Simultaneous Localization and Mapping (SLAM) using LiDAR technology can acquire the point cloud below the tree canopy efficiently in real time, and the Unmanned Aerial Vehicle LiDAR (UAV-LiDAR) can derive the point cloud of the tree canopy.
Shuting Zhang, Hongtao Wang, Cheng Wang, Yingchen Wang, Shaohui Wang, Zhenqi Yang   +5 more
semanticscholar   +1 more source

High-precision berthing and unberthing ship positioning method by fusing LiDAR and inertial navigation system

Zhongguo Jianchuan Yanjiu
ObjectiveAddressing the requirement for precise sensing during ship berthing and unberthing at close range, we propose a high-precision berthing and unberthing positioning method by fusing LiDAR with an inertial navigation system.
Zhibo HE, Wenzhou YAN, Chenguang LIU, Xiumin CHU, Xinyu LIU   +4 more
doaj   +1 more source

UNMANNED AERIAL VEHICLE IMAGE MATCHING BASED ON IMPROVED RANSAC ALGORITHM AND SURF ALGORITHM [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
A UAV image matching method based on RANSAC (Random Sample Consensus) algorithm and SURF (speeded up robust features) algorithm is proposed. The SURF algorithm is integrated with fast operation and good rotation invariance, scale invariance and ...
X. G. Li, C. Ren, C. Ren, T. X. Zhang, Z. L. Zhu, Z. G. Zhang   +5 more
doaj   +1 more source

Optimal Time Selection for ISAR Imaging of Ship Target via Novel Approach of Centerline Extraction With RANSAC Algorithm

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Optimal time selection for inverse synthetic aperture radar imaging of ship target is significant for the determination of image project plane, and the performance of it is dependent on the accuracy of ship centerline extraction. In this article, a novel
Rui Cao, Yong Wang, Yun Zhang, Mao Jian
semanticscholar   +1 more source

Automatic RANSAC by Likelihood Maximization

Image Processing On Line, 2022
In computer vision, and particularly in 3D reconstruction from images, it is customary to be faced with regression problems contaminated by outlying data. The standard and efficient method to deal with them is the Random Sample Consensus (RANSAC) algorithm.
Riu, Clément, Nozick, Vincent, Monasse, Pascal   +2 more
openaire   +2 more sources

Research on quantitative detection method of belt conveyor deviation in coal mines based on three-dimensional point cloud

Meitan kexue jishu
Aiming at the problems that the traditional contact deviation detection method in coal mines cannot detect the deviation amount, and the two-dimensional image detection method is affected by the harsh underground environment, a quantitative detection ...
Qinghua MAO, Yinan SU, Chun YI, Jiao ZHAI, Xusheng XUE, Rongquan WANG, Xinmang SHANG   +6 more
doaj   +1 more source

Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm

International Journal of Environment and Geoinformatics, 2020
Solar energy is a renewable energy source directly from sunlight and its production depends on roof characteristics such as roof type and size. In solar potential analysis, the main purpose is to determine the suitable roofs for the placement of solar ...
Fulya Gonultas, Muhammed Enes Atik, Zaide Duran   +2 more
doaj   +1 more source

3D Registration of Aerial and Ground Robots for Disaster Response: An Evaluation of Features, Descriptors, and Transformation Estimation

, 2017
Global registration of heterogeneous ground and aerial mapping data is a challenging task. This is especially difficult in disaster response scenarios when we have no prior information on the environment and cannot assume the regular order of man-made ...
Cadena, Cesar, Dubé, Renaud, Gawel, Abel, Nieto, Juan, Siegwart, Roland, Surmann, Hartmut   +5 more
core   +1 more source

Estimation of High-Frequency Vibration Parameters for Terahertz SAR Imaging Based on FrFT With Combination of QML and RANSAC

IEEE Access, 2021
High-frequency vibration of motion platform leads to paired echo for synthetic aperture radar (SAR) imaging, especially in terahertz band due to its shorter wave length.
Yinwei Li, Qi Wu, Jiawei Wu, Ping Li, Qibin Zheng, Li Ding   +5 more
semanticscholar   +1 more source

Roman Urdu sentiment analysis using Machine Learning with best parameters and comparative study of Machine Learning algorithms

Pakistan Journal of Engineering & Technology, 2020
People talks on the social media as they feel good and easy way to express their feelings about topic, post or product on the ecommerce websites. In the Asia mostly the people use the Roman Urdu language script for expressing their opinion about the ...
Sameen Aziz, Saleem Ullah, Bushra Mughal, Faheem Mushtaq , Sabih Zahra   +4 more
doaj