Results 61 to 70 of about 43,507 (266)
Penggunaan Extended Kalman Filter Sebagai Estimator Sikap pada Sistem Kendali Servo Visual Robot
Journal of Mechatronics, Electrical Power, and Vehicular Technology, 2012 Extended Kalman Filter (EKF) is the non-linear version of Kalman filter and the said filter is usually used in nonlinear state estimation. In this study EKF is applied to process the image features of a single camera mounted on the end effector of a ...
Noor Cholis Basjaruddin
doaj +1 more source
Invariant EKF Design for Scan Matching-Aided Localization [PDF]
IEEE Transactions on Control Systems Technology, 2015 Localization in indoor environments is a technique which estimates the robot's pose by fusing data from onboard motion sensors with readings of the environment, in our case obtained by scan matching point clouds captured by a low-cost Kinect depth camera.
Barczyk, Martin +3 more
openaire +3 more sources
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
Journal of Field Robotics, EarlyView.ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source
Havacılık ve Uzay Teknolojileri Dergisi, 2022 In this study an integrated adaptive TRIAD/Extended Kalman Filter (EKF) attitude estimation algorithm is presented, in which the TRIAD and an adaptive EKF are combined to estimate the attitude of a nanosatellite.
Hasan Kınataş, Cengiz Hacızade
doaj
Towards a Model Based Sensor Measurement Variance Input for Extended Kalman Filter State Estimation
Drones, 2019 In this paper, we present an alternate method for the generation and implementation of the sensor measurement variance used in an Extended Kalman Filter (EKF).
Harry A. G. Pointon +3 more
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Distributed Error Correction of EKF Algorithm in Multi-Sensor Fusion Localization Model
IEEE Access, 2020 In order to solve the problem that the standard extended Kalman filter (EKF) algorithm has large errors in Unmanned Aerial Vehicle (UAV) multi-sensor fusion localization, this paper proposes a multi-sensor fusion localization method based on adaptive ...
Fengjun Hu, Gang Wu
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Control System for the Navigation of the Agricultural Robots: A Review
Journal of Field Robotics, EarlyView.ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source
Model error and sequential data assimilation. A deterministic formulation
, 2008 Data assimilation schemes are confronted with the presence of model errors arising from the imperfect description of atmospheric dynamics. These errors are usually modeled on the basis of simple assumptions such as bias, white noise, first order Markov ...
Carrassi, A., Nicolis, C., Vannitsem, S.
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Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
SmartBot, EarlyView.This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen +12 more
wiley +1 more source
Sensorless speed control of DC motor using EKF estimator and TSK fuzzy logic controller
Automatika, 2022 In this article, sensorless speed control of DC motor has been proposed using the extended Kalman filter (EKF) estimator and Takagi–Sugeno-Kang (TSK) fuzzy logic controller (FLC).
Ravi Pratap Tripathi +3 more
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