Robust vision-aided inertial navigation system for protection against ego-motion uncertainty of unmanned ground vehicle

C Zhai, M Wang, Y Yang, K Shen - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The vision-aided inertial navigation system is of vital importance and great urgency to
guarantee accurate and reliable navigation information for unmanned ground vehicles …

[HTML][HTML] Vision-based seam tracking for GMAW fillet welding based on keypoint detection deep learning model

M Mobaraki, S Ahani, R Gonzalez, KM Yi… - Journal of Manufacturing …, 2024 - Elsevier
Pre-programmed welding robots significantly improved the efficiency and quality of the
welds in large batch production. In small and medium batch production, the robots need …

Application of UAV target tracking based on computer vision

X Wang, B Luo, Z Zhang - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
With the progress and development of China's reform and opening up and economic
globalization, China has made great progress in science and technology, especially in …

Adaptive myriad filter with time-varying noise-and signal-dependent parameters

N Tulyakova, O Trofymchuk - Radioelectronic and Computer Systems, 2022 - nti.khai.edu
The research subject of this article is the methods of locally adaptive filtering of non-
stationary signals. The goal is to develop a locally-adaptive algorithm for non-stationary …

Particle filter for randomly delayed measurements with unknown latency probability

RK Tiwari, S Bhaumik, P Date, T Kirubarajan - Sensors, 2020 - mdpi.com
This paper focuses on developing a particle filter based solution for randomly delayed
measurements with an unknown latency probability. A generalized measurement model that …

An Efficient Multi-AUV Cooperative Navigation Method Based on Hierarchical Reinforcement Learning

Z Zhu, L Zhang, L Liu, D Wu, S Bai, R Ren… - Journal of Marine …, 2023 - mdpi.com
Positioning errors introduced by low-precision navigation devices can affect the overall
accuracy of a positioning system. To address this issue, this paper proposes a master-slave …

An adaptive filter for nonlinear multi-sensor systems with heavy-tailed noise

X Dong, L Chisci, Y Cai - Sensors, 2020 - mdpi.com
Aiming towards state estimation and information fusion for nonlinear systems with heavy-
tailed measurement noise, a variational Bayesian Student's t-based cubature information …

Robust Navigation Based on an Interacting Multiple-Model Filtering Framework Using Multiple Tracking Cameras

S Kuruppu Arachchige, K Lee - AIAA SCITECH 2024 Forum, 2024 - arc.aiaa.org
A commercial tracking camera readily available in aerospace applications usually provides
reliable navigation solutions. While the navigation resulting from a tracking camera …

Classification of Breast Cancer Using Neutrosophic Techniques and Deep Neural Network

WM Shaban - 2021 - researchsquare.com
Breast cancer is one of the most common types of cancer that affects women globally and it
is the primary cause of death. Early detection of breast cancer is a vital process that can …

Iterative smoothing and outlier detection for underwater navigation

S Hassan, H Byun, J Kim - arXiv preprint arXiv:2109.14220, 2021 - arxiv.org
Underwater visual-inertial navigation is challenging due to the poor visibility and presence
of outliers in underwater environments. The navigation performance is closely related to …