Results 231 to 240 of about 43,507 (266)

IRobot self-localization using EKF

2016 IEEE International Conference on Information and Automation (ICIA), 2016
Self-Localization plays an important role in the mobile robot autonomous navigation. The Wheel Mobile robot usually contains a large number of different sensors, such as odometry, gyro, laser, camera and so on. All these sensors provide the information of robot localization and all these information should be considered for the optimal location ...
Shuqiang Zhao, Jason Gu, Yongsheng Ou, Wei Zhang, Jiexin Pu, Heather Peng   +5 more
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Integrated Exploration Based SRT-EKF

2010 Ninth Mexican International Conference on Artificial Intelligence, 2010
Real mobile robots should be able to build an abstract representation of the physical environment, in order to navigate and work in such environment. We propose a method for integrated exploration, where mobile robot incrementally build a map of this environment while simultaneously use this map to compute the absolute robot localization, and make ...
Toriz Palacios, Alfredo, Zapata, René, Sánchez Lopez, Abraham, Osorio L., Maria A.   +3 more
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EKF’s Intrasuite Journal

2022
Formålet med et journalsystem er at registrere, dokumentere og systematisere al sags relevant materiale, der ind- eller udgår fra Eksport Kredit Fonden. Registreringen medvirker til at sikre, at Eksport Kredit Fonden opfylder de krav, der stilles til offentlig forvaltning.
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Reconfigurable EKF for 2D SLAM

2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), 2016
The 2D SLAM problem has an unobservable subspace of 3 coordinates and using state estimation algorithms requires the formulated problem to be observable for consistent state estimation. This paper outlines the necessity of observability constraints in the 2D SLAM problem, and the two challenges encountered even when the problem is constrained.
Sindhu Radhakrishnan, Wail Gueaieb
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Sensitivity analysis of EKF and iterated EKF pose estimation for position-based visual servoing

Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005., 2005
Robust and real-time relative pose estimation is an integral part of a position-based visual servoing (PBVS) system. Traditionally, extended Kalman filter (EKF) has been used to solve for the nonlinear relative end-effector to object pose equations from a set of 2D-3D point correspondences.
null Azad Shademan, null F. Janabi-Sharifi   +1 more
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Sensorless control of induction motor using EKF: Analysis of parameter variation on EKF performance

2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), 2016
This paper deals with the investigation of the Extended Kalman Filter (EKF) for sensorless indirect vector control of an induction motor. The prime focus is low speed operation, when the EKF somewhat presents erroneous results. The effectiveness of the EKF as a speed estimator under machine parameter variations - change in stator resistance, rotor ...
K.V. Shivaramakrishna, Avneet K. Chauhan, M Raghuram, Santosh K. Singh   +3 more
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A computationally efficient EKF-vSLAM

2008 16th Mediterranean Conference on Control and Automation, 2008
This paper presents an efficient extended Kalman filter implementation of a single-camera visual simulataneous localization and mapping (vSLAM) algorithm, vSLAM is a novel algorithm for simultaneous localization and mapping problem widely studied in mobile robotics field. The algorithm is vision and odometry-based.
Souici A. Krim, Ould Ali A. Elaziz, Raja Chatila   +2 more
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Geomagnetic orbit determination: EKF or UKF?

Aircraft Engineering and Aerospace Technology, 2021
Purpose Autonomous orbit determination using geomagnetic measurements is an important backup technique for safe spacecraft navigation with a mere magnetometer. The geomagnetic model is used for the state estimation of orbit elements, but this model is highly nonlinear.
Wu, Jin, Liu, Ming, Zhang, Chengxi, Huang, Yulong, Zhou, Zebo   +4 more
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EKF Schemes in Array Processing

1993
The small error approximation is used to derive a linear relationship between the source parameters (i.e. power levels and directions of arrival) and a measurement of the covariance error matrix, defined as the difference between the data covariance and a covariance model from the scenario parameters. The resulting framework reveals the similarity with
M. A. Lagunas, A. Perez-Neira, D. Maiwald   +2 more
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TDoA based EKF localization for LTE

2016 Twenty Second National Conference on Communication (NCC), 2016
The advent of location based services has increased the need for accurate positioning of mobile stations (MS). Global Positioning Systems (GPS) is not reliable in indoor and urban environments. Cellular wireless communication systems like the OFDM based 3GPP-LTE provide an alternative via Time Difference of Arrival (TDoA) measurements. Typical Extended
Rohan Sriram, Devendra Jalihal
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