Assessing the Impact of Laser Camera Damage Artifacts on Visual Odometry Algorithms

UBC Undergraduate Research

Assessing the Impact of Laser Camera Damage Artifacts on Visual Odometry Algorithms Chiu, Joshua

Abstract

The convergence of last mile delivery challenges and urban laser proliferation presents a nuanced landscape for navigating aerial vehicles, particularly drones, in urban environments. While drones offer promising solutions to expedite deliveries and reduce operational costs, the hazards posed by lasers, both to aircraft and camera equipment, introduce complex safety and reliability concerns. Laser interference can impair pilot vision during critical flight phases and compromise the accuracy of visual data captured by onboard cameras, impacting navigation algorithms and posing risks to both operational efficiency and public safety. It is shown that corrupting a small patch of the image size can significantly affect optical flow estimates. This attack leads to noisy navigation positioning and deviations far from the intended destination. This necessitates a comprehensive understanding of laser-camera interactions and their implications for aerial navigation systems, highlighting the critical need for robust mitigation strategies to ensure the safe and effective deployment of drone technology in urban last mile delivery contexts.

Item Metadata

Title	Assessing the Impact of Laser Camera Damage Artifacts on Visual Odometry Algorithms
Creator	Chiu, Joshua
Date Issued	2024
Description	The convergence of last mile delivery challenges and urban laser proliferation presents a nuanced landscape for navigating aerial vehicles, particularly drones, in urban environments. While drones offer promising solutions to expedite deliveries and reduce operational costs, the hazards posed by lasers, both to aircraft and camera equipment, introduce complex safety and reliability concerns. Laser interference can impair pilot vision during critical flight phases and compromise the accuracy of visual data captured by onboard cameras, impacting navigation algorithms and posing risks to both operational efficiency and public safety. It is shown that corrupting a small patch of the image size can significantly affect optical flow estimates. This attack leads to noisy navigation positioning and deviations far from the intended destination. This necessitates a comprehensive understanding of laser-camera interactions and their implications for aerial navigation systems, highlighting the critical need for robust mitigation strategies to ensure the safe and effective deployment of drone technology in urban last mile delivery contexts.
Subject	Laser; Optical flow
Genre	Graduating Project
Type	Text
Language	eng
Series	University of British Columbia. CPEN 499
Date Available	2024-05-06
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0442344
URI	http://hdl.handle.net/2429/88240
Affiliation	Applied Science, Faculty of; Electrical and Computer Engineering, Department of
Peer Review Status	Unreviewed
Scholarly Level	Undergraduate
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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