Results 61 to 70 of about 55,859 (291)

A New Approach to Adaptive Signal Processing

open access: yes, 2015
A unified linear algebraic approach to adaptive signal processing (ASP) is presented. Starting from just Ax=b, key ASP algorithms are derived in a simple, systematic, and integrated manner without requiring any background knowledge to the field ...
Anjum, Muhammad Ali Raza
core   +2 more sources

Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review surveys methods for estimating contact forces in continuum robots without embedded sensors. It explains why contact force matters, classifies force patterns, and groups existing methods into three approaches based on actuation, deformation, and environment information.
An Hu, Yu Sun
wiley   +1 more source

Precision planter monitoring system based on mobile communication network

open access: yesIET Networks, EarlyView., 2022
Abstract Sowing is an important link in agricultural production and the basis for ensuring high yields and bumper harvests. Agriculture requires precision plows with good performance and stable work. However, the seeding process is in a completely closed state, and the operator relies mainly on experience to judge the operating state and performance of
Bing Li, Jiyun Li
wiley   +1 more source

Contact-Aided Invariant Extended Kalman Filtering for Legged Robot State Estimation

open access: yes, 2018
This paper derives a contact-aided inertial navigation observer for a 3D bipedal robot using the theory of invariant observer design. Aided inertial navigation is fundamentally a nonlinear observer design problem; thus, current solutions are based on ...
Eustice, Ryan M.   +3 more
core   +1 more source

Autonomous Robotic Colonoscopy: A Supervised Learning Approach for Enhanced Navigation and Collision Detection

open access: yesAdvanced Intelligent Systems, EarlyView.
A novel autonomous robotic colonoscopy is introduced through supervised learning approaches. The proposed system consists of 3 degrees of freedom motorized colonoscope with an integrated navigation module that can infer a target steering point and collision probability.
Bohyun Hwang   +3 more
wiley   +1 more source

Weak harmonic signal detection method in chaotic interference based on extended Kalman filter

open access: yesDigital Communications and Networks, 2019
The traditional methods of weak harmonic signal detection under strong chaotic interference often suffer from high computational complexity and poor performance.
Chengye Lu   +3 more
doaj   +1 more source

Consensus-based joint target tracking and sensor localization

open access: yes, 2017
In this paper, consensus-based Kalman filtering is extended to deal with the problem of joint target tracking and sensor self-localization in a distributed wireless sensor network.
Battistelli, Giorgio   +3 more
core   +1 more source

Voxel‐SLAM: A Complete, Accurate, and Versatile Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping System

open access: yesAdvanced Intelligent Systems, EarlyView.
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu   +9 more
wiley   +1 more source

Application of Improved Deep Neural Network in Complex Chemical Soft Measurement

open access: yesChemical Engineering Transactions, 2018
To improve the application effect of deep neural network in complex chemical soft measurement. After Kalman filtering equations were introduced, the algorithms of extended Kalman filter, volumetric Kalman filter and square root volumetric Kalman filter ...
Xilong Ding
doaj   +1 more source

Sequential Bayesian inference for static parameters in dynamic state space models [PDF]

open access: yes, 2017
A method for sequential Bayesian inference of the static parameters of a dynamic state space model is proposed. The method is based on the observation that many dynamic state space models have a relatively small number of static parameters (or hyper ...
Bhattacharya, Arnab, Wilson, Simon
core  

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