Concept

Sensor fusion

Publications associées (158)

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Efficient Kalman Smoothing for Harmonic State-Space Models

Harmonic probabilistic models are common in signal analysis. Framed as a linear-Gaussian state-space model, smoothed inference scales as

O(TH^2)

where

H

is twice the number of frequencies in the model and

T

is the length of the time-series. Due to th ...

IDIAP2005

Sensor fusion

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Autonomous multisensor tracking surveillance system

A joint radar-acoustic particle filter tracker with acoustic propagation delay compensation

A Monte-Carlo method for initializing distributed tracking algorithms

Vision-based Altitude and Pitch Estimation for Ultra-light Indoor Aircraft

Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors

Causal coding and feedback in Gaussian sensor networks

Bayesian Networks Based Multimodality Fusion for Error Handling in Human-Robot Dialogues Under Noisy Conditions

Efficient Kalman Smoothing for Harmonic State-Space Models

HELIMAP: Rapid Large Scale Mapping Using Handheld LiDAR/CCD/GPS/INS Sensors on Helicopters.

Integrating Photogrammetry and Inertial Sensors for Robotics Navigation and Mapping

HELIMAP: Rapid Large Scale Mapping Using Handheld LiDAR/CCD/GPS/INS Sensors on Helicopters.

Bayesian Networks Based Multimodality Fusion for Error Handling in Human-Robot Dialogues Under Noisy Conditions

Integrating Photogrammetry and Inertial Sensors for Robotics Navigation and Mapping

Autonomous multisensor tracking surveillance system

A joint radar-acoustic particle filter tracker with acoustic propagation delay compensation

A Monte-Carlo method for initializing distributed tracking algorithms

Causal coding and feedback in Gaussian sensor networks

Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors

Efficient Kalman Smoothing for Harmonic State-Space Models

Vision-based Altitude and Pitch Estimation for Ultra-light Indoor Aircraft