Results 61 to 70 of about 1,576,564 (201)

System Integration and Field Testing of Low‐Cost Autonomous Platooning Platforms: Collision Avoidance Scenario

Journal of Field Robotics, Volume 43, Issue 2, Page 847-878, March 2026.
ABSTRACT This paper presents the development and validation of a scalable platooning system based on the predecessor‐following (PF) topology, designed for low‐cost follower platforms. It integrates key technologies such as localization, path planning, profile generation, and low‐level control to create a practical solution.
Dongwoo Seo, Jinhee Lee, Jaeyoung Kang
wiley   +1 more source

Adaptive Visual Servoing With an Uncalibrated Camera Using Projection Homography and Q-Learning

IEEE Access
In this article, a novel image-based visual servoing (IBVS) method based on projection homography and Q-learning is proposed to solve the problem of slow convergence when there are numerous feature points in the uncalibrated visual servoing system. First,
Meng Kang, Jiangwei Cao, Peng Wei
doaj   +1 more source

Rapid Arbitrary‐Shape Microscopy of Unsectioned Tissues for Precise Intraoperative Tumor Margin Assessment

Advanced Science, Volume 13, Issue 8, 9 February 2026.
This study presents a novel microscopic imaging system capable of rapid, section‐free scanning of irregular tissue surfaces, delivering high sensitivity for detecting cancer cell clusters during intraoperative tumor margin assessment. Abstract Rapid and accurate intraoperative examination of tumor margins is crucial for precise surgical treatment, yet ...
Zhicheng Shao, Xiangwei Meng, Peifen Fu, Keer Huang, Xibei Chen, Yue Ying, Jun Li, Yuxin Zheng, Xiaolong Li, Hyeon Jeong Lee, Jingyi Feng, Yuexin Lu, Runping Cai, Xiongling Jiang, Qing Chen, Hong Zhang, Xiaoyong Man, Li Lin   +17 more
wiley   +1 more source

AbHE: All Attention-based Homography Estimation

, 2023
Homography estimation is a basic computer vision task, which aims to obtain the transformation from multi-view images for image alignment. Unsupervised learning homography estimation trains a convolution neural network for feature extraction and ...
Huo, Mingxiao, Yang, Xianqiang, Zhang, Zhihao, Ren, Xinyang   +3 more
core  

Kalman Filters and Homography: Utilizing the Matrix $A$

, 2010
Many problems in Computer Vision can be reduced to either working around a known transform, or given a model for the transform computing the inverse problem of the transform itself. We will look at two ways of working with the matrix $A$ and see how transforms are at the root of image processing and vision problems.
openaire   +2 more sources

Multiple homography estimation with full consistency constraints [PDF]

, 2010
A novel approach is presented to estimating a set of interdependent homography matrices linked together by latent variables. The approach allows enforcement of all underlying consistency constraints while accounting for the arbitrariness of the scale of ...
Wojciech Chojnacki, Brooks, M., Chojnacki, W., Van Den Hengel, A., Zygmunt L. Szpak, Anton van den Hengel, Szpak, Z., Michael J. Brooks   +7 more
core   +1 more source

matrix-toolbox/CHM_scripts: Sinkhorn Algorithm

, 2023
Several CHM matrices (M-scripts) obtained by the Sinkhorn Algorithm are ...
matrix-toolbox
core   +1 more source

Orthogonality Index Based Optimal Feature Selection for Visual Odometry

IEEE Access, 2019
The performance of visual odometry is dependent upon the quality of features selected for computing the frame-to-frame transformation. In order to ensure the quality of selected features, conventional approaches consider the spatial distribution of the ...
Huu Hung Nguyen, Sukhan Lee
doaj   +1 more source

A Vision‐Based Motion Compensation Method for Unmanned Aerial Vehicles

IET Cyber-Systems and Robotics, Volume 8, Issue 1, January/December 2026.
ABSTRACT In target tracking under background motion scenarios, background movement often significantly compromises detection and tracking accuracy. This paper proposes a visual motion compensation algorithm for unmanned aerial vehicles, integrating feature point detection, matching and robust geometric estimation methods.
Yiwei Wang, Weifeng Liu, Meng Zhou
wiley   +1 more source

Stay Local or Go Global: Geo‐Referenced Bounding Boxes for Tracking Wildlife in Thermal Drone Videos

IET Computer Vision, Volume 20, Issue 1, January/December 2026.
An overview of the geo‐referenced drone‐based detection and tracking pipeline is presented. The workflow begins with flight execution, including mission planning, control, RTK‐based positioning and image metadata acquisition. In the pre‐processing stage, video synchronisation, frame extraction and camera‐calibration‐based undistortion are performed ...
Christoph Praschl, Vincent Coucke, Anna Maschek, David C. Schedl   +3 more
wiley   +1 more source