Results 31 to 40 of about 1,353 (200)

Self-Calibration and Optimal Response in Intelligent Sensors Design Based on Artificial Neural Networks

open access: yesSensors, 2007
The development of smart sensors involves the design of reconfigurable systemscapable of working with different input sensors. Reconfigurable systems ideally shouldspend the least possible amount of time in their calibration.
Gilberto Bojorquez   +4 more
doaj   +1 more source

Camera Autocalibration and Horopter Curves [PDF]

open access: yesInternational Journal of Computer Vision, 2004
We describe a new algorithm for the obtainment of the affine and Euclidean calibration of a camera under general motion. The algorithm exploit the relationships of the horopter curves associated to each pair of cameras with the plane at infinity and the absolute conic. Using these properties we define cost functions whose minimization by
José Ignacio Ronda   +2 more
openaire   +3 more sources

LPS Auto-Calibration Algorithm with Predetermination of Optimal Zones

open access: yesSensors, 2011
Accurate coordinates for active beacons placed in the environment are required in Local Positioning Systems (LPS). These coordinates and the distances (or differences of distances) measured between the beacons and the mobile node to be localized are ...
Juan C. García   +5 more
doaj   +1 more source

Automatic Calibration in Adaptive Filters to EMG Signals Processing

open access: yesRevista Iberoamericana de Automática e Informática Industrial RIAI, 2019
In this work, an adaptive filtering that includes an automatic calibration process to acquire EMG (electromyography) signals has been implemented. We propose a novel technique called “autocalibration” to minimize the noise generated by the contact of the
Christian Salamea Palacios   +1 more
doaj   +1 more source

Highly Productive 3D Printing Process to Transcend Intractability in Materials and Geometries via Interactive Machine‐Learning‐Based Technique

open access: yesAdvanced Intelligent Systems, 2023
Herein, a highly productive and defect‐free 3D‐printing system enforced by deep‐learning (DL)‐based anomaly detection and reinforcement‐learning (RL)‐based optimization processes is developed.
Yuseok Kim, Suk Hee Park
doaj   +1 more source

IN2LAAMA: Inertial Lidar Localization Autocalibration and Mapping [PDF]

open access: yes, 2021
IEEE In this article, we present inertial lidar localization autocalibration and mapping: an offline probabilistic framework for localization, mapping, and extrinsic calibration based on a 3-D lidar and a six-degree-of-freedom inertial measurement unit ...
Le Gentil, C, Huang, S, Vidal-Calleja, T
core   +1 more source

Linear camera autocalibration with varying parameters [PDF]

open access: yes2004 International Conference on Image Processing, 2004. ICIP '04., 2005
We provide a new technique for the Euclidean upgrading of a projective calibration for a set of ten or more cameras with known skew angle and aspect ratio and arbitrary varying focal length and principal point. The proposed algorithm, which is purely linear and thus of very low computational cost and not suffering from initialization problems, is based
Valdés Morales, Antonio   +2 more
openaire   +2 more sources

3D LiDAR/IMU Calibration Based on Continuous-Time Trajectory Estimation in Structured Environments

open access: yesIEEE Access, 2021
Sensor calibration is a fundamental step for improving the performance in sensor fusion, the aim of which is to spatially and temporally register sensors with respect to each other.
Shuaixin Li   +5 more
doaj   +1 more source

Auto-calibration and synchronization of camera and MEMS-sensors

open access: yesТруды Института системного программирования РАН, 2018
This article describes our ongoing research on auto-calibration and synchronization of camera and MEMS-sensors. The research is applicable on any system that consists of camera and MEMS-sensors, such as gyroscope. The main task of our research is to find
A. R. Polyakov   +2 more
doaj   +1 more source

Automatic high-bandwidth calibration and reconstruction of arbitrarily sampled parallel MRI. [PDF]

open access: yesPLoS ONE, 2014
Today, many MRI reconstruction techniques exist for undersampled MRI data. Regularization-based techniques inspired by compressed sensing allow for the reconstruction of undersampled data that would lead to an ill-posed reconstruction problem.
Jan Aelterman   +6 more
doaj   +1 more source

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