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» Parameter Estimation Using Kalman Filters with Constraints
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ICPR
2002
IEEE
13 years 11 months ago
Stochastic Filtering for Motion Trajectory in Image Sequences Using a Monte Carlo Filter with Estimation of Hyper-Parameters
False matching due to errors in feature extraction and changes in illumination between frames may occur in feature tracking in image sequences. False matching leads to outliers in...
Naoyuki Ichimura
PERCOM
2003
ACM
14 years 6 months ago
Evaluation of Kalman Filtering for Network Time Keeping
Time information is critical for a variety of applications in distributed environments that facilitate pervasive computing and communication. This work describes and evaluates a no...
Aggelos Bletsas
JFR
2008
148views more  JFR 2008»
13 years 6 months ago
Terrain-based vehicle orientation estimation combining vision and inertial measurements
A novel method for estimating vehicle roll, pitch and yaw using machine vision and inertial sensors is presented that is based on matching images captured from an on-vehicle camer...
Vishisht Gupta, Sean Brennan
PREMI
2005
Springer
14 years 6 days ago
Fusing Depth and Video Using Rao-Blackwellized Particle Filter
We address the problem of fusing sparse and noisy depth data obtained from a range finder with features obtained from intensity images to estimate ego-motion and refine 3D struct...
Amit K. Agrawal, Rama Chellappa
CORR
2008
Springer
124views Education» more  CORR 2008»
13 years 6 months ago
Scheduling Kalman Filters in Continuous Time
A set of N independent Gaussian linear time invariant systems is observed by M sensors whose task is to provide the best possible steady-state causal minimum mean square estimate o...
Jerome Le Ny, Eric Feron, Munther A. Dahleh