Towards Real-Time 3D Monocular-Based Reconstruction in Support of Uas Missions

This paper discusses the processes and resources needed to develop three-dimensional (3D) reconstructions of an object or indoor/outdoor environment using unmanned vehicles equipped with a single camera. A single camera captures a scene in twodimensions (2D), inherently providing no information about the 3D space of the scene. Converting a stream of 2D images into a high-resolution 3D model requires a sequence of coordinated algorithmic processes. Literature review reveals the attempts to tackle the problem by configuring unmanned vehicles with a suite of sensors. This approach solves some problems with scene capturing but opens a large envelope of vulnerabilities when using the system in critical missions requiring quick response, high confidence level and precision.

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Publication Details

Published
2025-06-30
DOI
https://doi.org/10.1109/icca65672.2025.11129845
Primary Topic
Robotics and Sensor-Based Localization
Type
article
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article

Towards Real-Time 3D Monocular-Based Reconstruction in Support of Uas Missions

Oleg Yakimenko, R. Walczak
Robotics and Sensor-Based Localization
article

Towards Real-Time 3D Monocular-Based Reconstruction in Support of Uas Missions

Oleg Yakimenko, R. Walczak
article en

Abstract

This paper discusses the processes and resources needed to develop three-dimensional (3D) reconstructions of an object or indoor/outdoor environment using unmanned vehicles equipped with a single camera. A single camera captures a scene in twodimensions (2D), inherently providing no information about the 3D space of the scene. Converting a stream of 2D images into a high-resolution 3D model requires a sequence of coordinated algorithmic processes. Literature review reveals the attempts to tackle the problem by configuring unmanned vehicles with a suite of sensors. This approach solves some problems with scene capturing but opens a large envelope of vulnerabilities when using the system in critical missions requiring quick response, high confidence level and precision.

Naval Postgraduate School (US)
Openalex Percentile: Top 68%
Robotics and Sensor-Based Localization
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Towards Real-Time 3D Monocular-Based Reconstruction in Support of Uas Missions — Oleg Yakimenko, R. Walczak · (2025) | TGRS Research Map | TGRS