Extended Kalman filter-based methods for pose estimation using visual, inertial and magnetic sensors: comparative analysis and performance evaluation.
about
Accuracy and repeatability of an inertial measurement unit system for field-based occupational studiesA sensor fusion method for tracking vertical velocity and height based on inertial and barometric altimeter measurementsA cognition-based method to ease the computational load for an extended Kalman filter.A Simulation Environment for Benchmarking Sensor Fusion-Based Pose Estimators.A Robust Method for Ego-Motion Estimation in Urban Environment Using Stereo Camera.Finite Element Modelling of a Field-Sensed Magnetic Suspended System for Accurate Proximity Measurement Based on a Sensor Fusion Algorithm with Unscented Kalman Filter.Statistical process control of a Kalman filter model.Pose Estimation of a Mobile Robot Based on Fusion of IMU Data and Vision Data Using an Extended Kalman Filter.
P2860
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P2860
Extended Kalman filter-based methods for pose estimation using visual, inertial and magnetic sensors: comparative analysis and performance evaluation.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
Extended Kalman filter-based m ...... is and performance evaluation.
@en
type
label
Extended Kalman filter-based m ...... is and performance evaluation.
@en
prefLabel
Extended Kalman filter-based m ...... is and performance evaluation.
@en
P2860
P356
P1433
P1476
Extended Kalman filter-based m ...... is and performance evaluation.
@en
P2093
Angelo Maria Sabatini
Gabriele Ligorio
P2860
P304
P356
10.3390/S130201919
P407
P577
2013-02-04T00:00:00Z