Hybrid learning for quadrotor navigation and sensor fusion

Itzik Klein

Hybrid learning for quadrotor navigation and sensor fusion

Department of Marine Technologies

Research output: Contribution to conference › Paper › peer-review

Abstract

Obtaining accurate outdoor quadrotor navigation commonly requires fusion between several sensors, such as inertial sensors and global navigation satellite systems, in a model-based, nonlinear estimation framework. Recently, data-driven approaches applied in various fields show state-of-The-Art performance, compared to model-based methods. In this paper, we present two hybrid-learning approaches for quadrotor navigation and provide field experiments analysis and results.

Original language	English
State	Published - 2023
Event	62nd Israel Annual Conference on Aerospace Sciences, IACAS 2023 - Haifa, Israel Duration: 15 Mar 2023 → 16 Mar 2023

Conference

Conference	62nd Israel Annual Conference on Aerospace Sciences, IACAS 2023
Country/Territory	Israel
City	Haifa
Period	15/03/23 → 16/03/23

Bibliographical note

Publisher Copyright:
© IACAS 2023. All rights reserved.

ASJC Scopus subject areas

Aerospace Engineering

Cite this

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abstract = "Obtaining accurate outdoor quadrotor navigation commonly requires fusion between several sensors, such as inertial sensors and global navigation satellite systems, in a model-based, nonlinear estimation framework. Recently, data-driven approaches applied in various fields show state-of-The-Art performance, compared to model-based methods. In this paper, we present two hybrid-learning approaches for quadrotor navigation and provide field experiments analysis and results.",

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AB - Obtaining accurate outdoor quadrotor navigation commonly requires fusion between several sensors, such as inertial sensors and global navigation satellite systems, in a model-based, nonlinear estimation framework. Recently, data-driven approaches applied in various fields show state-of-The-Art performance, compared to model-based methods. In this paper, we present two hybrid-learning approaches for quadrotor navigation and provide field experiments analysis and results.

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M3 - Paper

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T2 - 62nd Israel Annual Conference on Aerospace Sciences, IACAS 2023

Y2 - 15 March 2023 through 16 March 2023

ER -

Hybrid learning for quadrotor navigation and sensor fusion

Abstract

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this