Results 71 to 80 of about 8,181 (194)

Multi-Object Tracking with Interacting Vehicles and Road Map Information

, 2018
In many applications, tracking of multiple objects is crucial for a perception of the current environment. Most of the present multi-object tracking algorithms assume that objects move independently regarding other dynamic objects as well as the static ...
Danzer, Andreas, Dietmayer, Klaus, Gies, Fabian   +2 more
core   +1 more source

Safety Considerations in Deployment of Robotic Systems – A Systematic Review

Journal of Field Robotics, Volume 43, Issue 1, Page 5-33, January 2026.
ABSTRACT An in‐depth understanding of the risks related to robotic systems is crucial to guarantee safety throughout all stages of robot design and operations. This required a thorough risk assessment following international standards. This study presents a systematic review of previous research on safety considerations in the design of robotic systems,
Adedire D. Adesiji, Segun E. Ibitoye, Rasheedat M. Mahamood, Olalekan A. Olayemi, Peter O. Omoniyi, Tien‐Chien Jen, Esther T. Akinlabi   +6 more
wiley   +1 more source

A Parameter Identification Method of Train Basic Resistance Based on Improved White Shark Algorithm

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
In this research, an identification framework based on train single‐mass dynamics model is first established to transform the parameter identification problem into a parameter optimization problem. Subsequently, an improved White Shark Algorithm incorporating Logistic Chaos Map, Time‐Varying Inertia Weight, and Gaussian Random Walk is designed to solve
Anzheng Lai, Youneng Huang, Guoxuan Tai, Yilong Wen, Guangzu Li, Lei Zhang, Huazhen Yu   +6 more
wiley   +1 more source

Inference in Nonlinear Systems with Unscented Kalman Filters [PDF]

, 2016
An increasing number of scientific disciplines, most notably the life sciences and health care, have become more quantitative, describing complex systems with coupled nonlinear di↵erential equations.
Giurghita, Diana, Husmeier, Dirk
core  

Improvement of Computational Efficiency of Unscented Particle Filter by Automatically Adjusting the Number of Particles

Journal of Robotics, Networking and Artificial Life, 2016
In RoboCup Standard Platform League (SPL), the method using unscented particle filter (UPF) has been proposed for self-localization. The UPF resolves a problem of particle filter which cannot be sampled appropriately when the likelihood is too high or low. This filter can estimate accurate position when the more number of particles is.
Kenta Hidaka, Takuo Suzuki, Kunikazu Kobayashi   +2 more
openaire   +1 more source

A Tightly Coupled Fusion Positioning Method Based on Particle Filtering With Effective Particle Neighbourhood Attraction Optimisation

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
To address the limitations of existing wireless and inertial navigation systems, this paper proposes a high‐precision integrated positioning scheme based on particle filtering. The method introduces a high‐weight particle neighbourhood attraction mechanism to solve the common issue of particle degeneracy.
Yanbiao Gao, Zhongliang Deng
wiley   +1 more source

Remaining Useful Life Prediction and State of Health Diagnosis of Lithium-Ion Battery Based on Second-Order Central Difference Particle Filter

IEEE Access, 2020
State of health (SOH) estimation and remaining useful life (RUL) prediction can ensure reliable and safe system operation and reduce unnecessary maintenance costs.
Yuan Chen, Yigang He, Zhong Li, Liping Chen, Chaolong Zhang   +4 more
doaj   +1 more source

Student’s t‐Kernel‐Based Graph Signals Maximum Correntropy Unscented Kalman Filter Under Hybrid Cyberattacks

IET Signal Processing, Volume 2026, Issue 1, 2026.
The implementation of Kalman filter (KF) in tracking high‐dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non‐Gaussian noise and various cyberattacks.
Bingyu Yin, Xinmin Song, Wenling Li
wiley   +1 more source

Research on Prediction of Remaining Useful Life of Wheel Machining Tool Based on EMD–PSO–LSTM Model

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
A novel EMD–PSO–LSTM framework is proposed for precise tool remaining useful life prediction in wheel machining, where empirical mode decomposition (EMD) extracts multi‐scale features from sensor data, and particle swarm optimization (PSO) enhances long short‐term memory (LSTM) hyperparameters, achieving superior robustness and accuracy.
Yuehong Zhang, Mianhao Zhang
wiley   +1 more source

Multi‐Teacher Knowledge Distillation Framework for Lightweight Deep Learning‐Based State‐of‐Health Estimation

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
While deep learning‐based approaches for state of health (SOH) estimation in lithium‐ion batteries have been actively studied, most models face deployment constraints in on‐device applications due to their high complexity and large number of parameters.
Yeonho Choi, Paul Jang, Jaejung Yun, Özgür Ömer Ersin   +3 more
wiley   +1 more source