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Filtragem por: Palavra-chave Kalman Filter Remover Palavra-chave: Kalman Filter Editor Worcester Polytechnic Institute Remover Editor: Worcester Polytechnic Institute

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Resultados da Busca

Estimation of a Plume with a UTV

Palavra-chave:

Kalman Filter, Plume Detection, Autonomous Vehicle, Sensor, Carbon Dioxide, and Controls

O Criador:

Mitala, Vincent, Ibrahimi, David, and McCarthy, John

Advisor:

Demetriou, Michael A.

Editor:

Worcester Polytechnic Institute

Data Criada:

2022-03-24

Resource Type:

Major Qualifying Project
Robust State Estimation and Deep Learning for Time Series Analysis

Palavra-chave:

Domain Randomization, Deep Learning, Chemical Sensors, Interacting Multiple Model Kalman Filter, Autoencoder, and Kalman Filter

O Criador:

Weiss, Matthew L.

Advisor:

Paffenroth, Randy Clinton

Editor:

Worcester Polytechnic Institute

Data Criada:

2020-08-12

Resource Type:

Dissertation

Degree:

PhD

Unit (Department):

Data Science
Extended and Unscented Kalman Smoothing for Re-linearization of Nonlinear Problems with Applications

Palavra-chave:

Kalman Filter, UKF, Iterative, Tracking, Sigma Point, and EKF

O Criador:

Lowe, Matthew

Advisor:

Cyganski, David

Editor:

Worcester Polytechnic Institute

Data Criada:

2015-04-30

Resource Type:

Phd Report

Degree:

PhD

Unit (Department):

Electrical & Computer Engineering
Analyzing and Modeling Low-Cost MEMS IMUs for use in an Inertial Navigation System

Palavra-chave:

Parameter Estimation, IMU, Error Modeling, Kalman Filter, and Inertial Navigation

O Criador:

Barrett, Justin Michael

Advisor:

Gennert, Michael A.

Editor:

Worcester Polytechnic Institute

Data Criada:

2014-04-30

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Robotics Engineering
A Fast and Robust Image-Based Method for tracking Robot-assisted Needle Placement in Real-time MR Images

Palavra-chave:

Hough Transform, Needle Tracking, and Kalman Filter

O Criador:

Janga, Satyanarayana Reddy

Advisor:

Gennert, Michael A.

Editor:

Worcester Polytechnic Institute

Data Criada:

2014-01-15

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Computer Science
Inertial System Modeling and Kalman Filter Design from Sensor Specifications with Applications in Indoor Localization

Palavra-chave:

Indoor Localization, Inertial Measurement Unit, System Modeling, and Kalman Filter

O Criador:

Lowe, Matthew

Advisor:

Cyganski, David

Editor:

Worcester Polytechnic Institute

Data Criada:

2011-05-05

Resource Type:

Thesis

Degree:

MS

Unit (Department):

Electrical & Computer Engineering

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Collections

Masters Theses3
PhD Dissertations1
Major Qualifying Projects1
PhD Reports1

Year

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Current results range from 2011 to 2022

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O Criador

Barrett, Justin Michael1
Ibrahimi, David1
Janga, Satyanarayana Reddy1
Lowe, Matthew2
McCarthy, John1
mais O Criadors »

Advisor

Cyganski, David2
Demetriou, Michael A.1
Gennert, Michael A.2
Paffenroth, Randy Clinton1

Contributor

Center, Julian L., Jr.1
Cyganski, David2
Gennert, Michael A.2
Heinricher, Arthur C.1
Kong, Xiangnan1
mais Contributors »

Major

Aerospace Engineering1

Unit (Department)

Computer Science1
Data Science1
Electrical & Computer Engineering2
Robotics Engineering1

Editor

Worcester Polytechnic Institute[remove]6

Sujeito

Community1
Computing1
Environment1
Health1
Industry1
mais Sujeitos »

UN SDG

3 - Good Health and Well-being1
4 - Quality Education1
9 - Industry, Innovation and Infrastructure1
11 - Sustainable Cities and Communities1

Tipo de recurso

Thesis3
Dissertation1
Major Qualifying Project1
Phd Report1

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