3D Object Detection and Tracking Methods using Deep Learning for Computer Vision Applications

Shreyas, E; Sheth, Manav Hiren; Mohana,

doi:10.1109/rteict52294.2021.9573964

Cited by 19 publications

(1 citation statement)

References 9 publications

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“…For successful AR use and application, a detailed understanding of the scene is required, a challenging task that includes multiple sensor fusion, object tracking and real, and virtual world registration [17]. Computer Vision approaches have been used in AR applications for object detection and tracking [18,19], object pose estimation [20], localization [21], and even gaze-based UAV navigation [22]. In our application, we utilize computer vision techniques for visual pose drone detection [23].…”

Section: Computer Vision For Armentioning

confidence: 99%

Drone Control in AR: An Intuitive System for Single-Handed Gesture Control, Drone Tracking, and Contextualized Camera Feed Visualization in Augmented Reality

Konstantoudakis

Christaki

Tsiakmakis

et al. 2022

Drones

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Traditional drone handheld remote controllers, although well-established and widely used, are not a particularly intuitive control method. At the same time, drone pilots normally watch the drone video feed on a smartphone or another small screen attached to the remote. This forces them to constantly shift their visual focus from the drone to the screen and vice-versa. This can be an eye-and-mind-tiring and stressful experience, as the eyes constantly change focus and the mind struggles to merge two different points of view. This paper presents a solution based on Microsoft’s HoloLens 2 headset that leverages augmented reality and gesture recognition to make drone piloting easier, more comfortable, and more intuitive. It describes a system for single-handed gesture control that can achieve all maneuvers possible with a traditional remote, including complex motions; a method for tracking a real drone in AR to improve flying beyond line of sight or at distances where the physical drone is hard to see; and the option to display the drone’s live video feed in AR, either in first-person-view mode or in context with the environment.

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