Results 61 to 70 of about 1,871 (255)
Maneuvering Target Track Prediction Model
International Journal on Cybernetics & Informatics, 2015 The issues about maneuvering target track prediction were discussed in this paper. Firstly, using Kalman filter which based on current statistical model describes the state of maneuvering target motion, thereby analyzing time range of the target maneuvering occurred. Then, predict the target trajectory in real time by the improved gray prediction model.
Qingping Yu, Xiaoming You, Sheng Liu
openaire +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Applied Sciences, 2017 Aimed at solving the problem of decreased filtering precision while maneuvering target tracking caused by non-Gaussian distribution and sensor faults, we developed an efficient interacting multiple model-unscented Kalman filter (IMM-UKF) algorithm.
Huan Zhou +3 more
doaj +1 more source
Pre‐Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding
Advanced Intelligent Systems, EarlyView.Design and experimental demonstration of a laser welded growing robot for anatomically guided navigation. The robot follows an aortic arch phantom entering the branchiocephalic branch through steering by design. The figure shows the physical phantom setup, CAD defined weld geometry and full robot eversion.
Brandon Saldarriaga +5 more
wiley +1 more source
Variational Bayesian Algorithms for Maneuvering Target Tracking with Nonlinear Measurements in Sensor Networks. [PDF]
Entropy (Basel), 2023 Hu Y +5 more
europepmc +1 more source
Tracking a Maneuvering Target using AUV
International Journal of Engineering and Advanced Technology, 2019 In this paper effort is made to track a maneuvering target using Unmanned Aerial Vehicles (UAV) with range, bearing and elevation measurements. Extended Kalman filter is preferred to processmeasurements tampered with noise. Algorithm to detect the maneuver of target is developed in this paper.
P. Dhatri Shree +4 more
openaire +2 more sources
Cteno‐Bot: An Untethered Metachronally Swimming Robot With Magnetoactive Propulsors
Advanced Intelligent Systems, EarlyView.We present Cteno‐bot, an untethered ctenophore‐inspired robot which swims using metachronally coordinated appendages. A single mechanism controls up to 216 magnetoactive propulsors via a dynamically varying magnetic field. We show that the swimming speed of the robot can be increased without a corresponding increase in power requirement, simply by ...
David J. Peterman, Margaret L. Byron
wiley +1 more source
Formation Optimization and Control for Maneuvering Target Tracking by Mobile Sensing Agents
IEEE Access, 2019 This paper presents a geometric formation control strategy of multiple sensing agents for maneuvering target tracking, which ensures agents to track the target with optimal target state estimation.
Huizhen Yang, Yue Wang
doaj +1 more source
A Novel Adaptive Robust Cubature Kalman Filter for Maneuvering Target Tracking with Model Uncertainty and Abnormal Measurement Noises. [PDF]
Sensors (Basel), 2023 Ye X, Wang J, Wu D, Zhang Y, Li B.
europepmc +1 more source