Nothing Special   »   [go: up one dir, main page]

Gning et al., 2010 - Google Patents

Mixture of uniform probability density functions for non linear state estimation using interval analysis

Gning et al., 2010

View PDF
Document ID
7126920902326222704
Author
Gning A
Mihaylova L
Abdallah F
Publication year
Publication venue
2010 13th International Conference on Information Fusion

External Links

Snippet

In this work, a novel approach to nonlinear non-Gaussian state estimation problems is presented based on mixtures of uniform distributions with box supports. This class of filtering methods, introduced in the light of interval analysis framework, is called Box Particle Filter …
Continue reading at confcats_isif.s3.amazonaws.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/10—Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration
    • G01C21/12—Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
    • G01C21/16—Navigation; Navigational instruments not provided for in preceding groups by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20—Instruments for performing navigational calculations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves

Similar Documents

Publication Publication Date Title
Narasimhappa et al. MEMS-based IMU drift minimization: Sage Husa adaptive robust Kalman filtering
Gning et al. Mixture of uniform probability density functions for non linear state estimation using interval analysis
Bailey et al. Consistency of the FastSLAM algorithm
Mallick et al. Advances in asynchronous and decentralized estimation
Nygren et al. Terrain navigation for underwater vehicles using the correlator method
EP3734388A1 (en) Method and apparatus for performing simultaneous localization and mapping
Rybakov Solving the nonlinear problems of estimation for navigation data processing using continuous-time particle filter
Plagemann et al. Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders.
Khan et al. Investigating effective methods for integration of building's map with low cost inertial sensors and wifi-based positioning
Fernández-Prades et al. Bayesian nonlinear filtering using quadrature and cubature rules applied to sensor data fusion for positioning
Klein et al. Continuous INS/DVL fusion in situations of DVL outages
Neuland et al. Hybridization of Monte Carlo and set-membership methods for the global localization of underwater robots
Gning et al. Particle filtering combined with interval methods for tracking applications
Bhuvana et al. Distributed object tracking based on cubature Kalman filter
Raj et al. Rao-Blackwellized particle filters for recognizing activities and spatial context from wearable sensors
Coffin et al. Multi-agent dynamic ergodic search with low-information sensors
Buisson-Fenet et al. Recognition models to learn dynamics from partial observations with neural odes
Noack et al. State estimation with sets of densities considering stochastic and systematic errors
Gorji et al. Multiple target tracking for mobile robots using the JPDAF algorithm
Elsergany et al. Novel augmented quaternion UKF for enhanced loosely coupled GPS/INS integration
Hewawasam et al. Comparative study on object tracking algorithms for mobile robot navigation in gps-denied environment
Hao et al. Robust Kalman Filters Based on the Sub-Gaussian $\alpha $-stable Distribution
Gning et al. A box particle filter for stochastic and set-theoretic measurements with association uncertainty
Gruyer et al. Experimental comparison of Bayesian positioning methods based on multi-sensor data fusion
Chen et al. Dealing with observation outages within navigation data using Gaussian process regression