AN ARTIFICIAL INTELLIGENCE APPROACH FOR RELIABLE AUTONOMOUS NAVIGATION IN GPS-DENIED ENVIRONMENTS WITH APPLICATIONS TO UNMMANED AERIAL VEHICLES

Description

<p dir="ltr">This Research focuses on developing artificial intelligence tools to detect and mitigate cyber-attacks targeting unmanned aerial vehicles. </p>

Links & Downloads

1. 10.25394/pgs.25748940.v1

Tags

Machine learning

Artificial Intelliegence

Unmanned arial Vehicle

Long short-term memory (LTSM)

Return-to-home

Software Defined Radio (SDR)

Global positioning system(GPS)

Jamming Mitigation

Additional Fields

Identifer	oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/25748940
Date	03 May 2024
Creators	Mustafa MOHAMMAD S Alkhatib Sr (18496281)
Source Sets	Purdue University
Detected Language	English
Type	Text, Thesis
Rights	CC BY 4.0
Relation	https://figshare.com/articles/thesis/AN_ARTIFICIAL_INTELLIGENCE_APPROACH_FOR_RELIABLE_AUTONOMOUS_NAVIGATION_IN_GPS-DENIED_ENVIRONMENTS_WITH_APPLICATIONS_TO_UNMMANED_AERIAL_VEHICLES/25748940