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IoT Cameras Network Based Motion Tracking for an Unmanned Aerial Vehicle Control Interface | IEEE Conference Publication | IEEE Xplore

IoT Cameras Network Based Motion Tracking for an Unmanned Aerial Vehicle Control Interface


Abstract:

This work develops a concept of using stationary IoT cameras with motion tracking and notification functions employed for a teleoperated unmanned aerial vehicles (UAV) co...Show More

Abstract:

This work develops a concept of using stationary IoT cameras with motion tracking and notification functions employed for a teleoperated unmanned aerial vehicles (UAV) control. The notification function uses a popular messenger to improve an operator convenience. This approach allows the operator using a mobile phone as a UAV control panel by notifying on a presence of motion within a currently invisible area. This work extends our previous research on using stationary IoT cameras for a UAV teleoperation
Date of Conference: 02-06 October 2023
Date Added to IEEE Xplore: 18 December 2023
ISBN Information:
Conference Location: Astrakhan, Russian Federation

Funding Agency:


I. Introduction

Nowadays, developments in the field of unmanned aerial vehicles (UAVs) are one of the highest priority areas in robotics [1]. UAVs are widely used both for civil needs, for example, for organizing smart farms [2], warehouse management [3], traffic control for its subsequent analysis [4], covering large open spaces with a swarm of UAVs [5] and search and rescue operations [6], [7], and for military needs [8], [9]. Much attention of the scientific community is attracted by researches aimed at improving a UAV control process [10], [11]. According to statistics, from 21% to 67% of accidents while working with UAVs occur due to a human factor and an insufficient convenience of a UAV control [12].

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References

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