Results 171 to 180 of about 41,493 (218)
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MCC-EKF for Autonomous Car Security
2020 Fourth IEEE International Conference on Robotic Computing (IRC), 2020This work attempts to answer two problems. (1) Can we use the odometry information from two different Simultaneous Localization And Mapping (SLAM) algorithms to get a better estimate of the odometry? and (2) What if one of the SLAM algorithms gets affected by shot noise or by attack vectors, and can we resolve this situation?
Ashutosh Singandhupe, Hung Manh La
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NISAC-EKF: An integrated localization deployment algorithm for UAV swarms based on NARX and EKF
Physical CommunicationZhongcheng Wei, Jijun Zhao
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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), 2016The 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., 2005Robust 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.
Azad Shademan, Farrokh Janabi-Sharifi
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IRobot self-localization using EKF
2016 IEEE International Conference on Information and Automation (ICIA), 2016Self-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 +5 more
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EKF learning for feedforward neural networks
2003 European Control Conference (ECC), 2003Learning for feedforward neural networks can be regarded as a nonlinear parameter estimation problem with the objective of finding the optimal weights that provide the best fitting of a given training set. The extended Kalman filter is well-suited to accomplishing this task, as it is a recursive state estimation method for nonlinear systems.
ALESSANDRI, ANGELO +4 more
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Comparison of EKF and PEKF in a SLAM context
2008 11th International IEEE Conference on Intelligent Transportation Systems, 2008This paper introduces an implementation of the Polynomial Extended Kalman Filter (PEKF) to solve the Simultaneous Localization and Map building (SLAM) problem. The proposed solution is a filtering algorithm which is a polynomial transformation of state evolution and measurement equations.
Chanier, François +3 more
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2022
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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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SIMD and OpenMP optimization of EKF-SLAM
2014 International Conference on Multimedia Computing and Systems (ICMCS), 2014SLAM algorithms are widely used by autonomous robots operating in unknown environments. Several works have presented optimizations mainly focused on the algorithm complexity. New computing technologies (SIMD coprocessors, multicore architecture) can greatly accelerate the processing time but require rethinking the algorithm implementation.
Vincke, Bastien +3 more
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Integrated Exploration Based SRT-EKF
2010 Ninth Mexican International Conference on Artificial Intelligence, 2010Real 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 ...
Alfredo Toriz P. +3 more
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