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Conference Paper Implementaion of 3D Collaborative Object Detection Systems using RGB-D Sensors
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Authors
Sungwoo Jun, Jaeuk Baek, Seungwon Do, ChangEun Lee
Issue Date
2023-02
Citation
International Conference on Big Data and Smart Computing (BigComp) 2023, pp.366-368
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/BigComp57234.2023.00085
Abstract
Recently, artificial intelligence technology has been actively applied to the defense field. In this paper, we propose a method for collaboratively detecting objects on 3D coordinates based on data collected from various viewpoints by multiple RGB-D sensors to increase object detection rates in poor warfare environments. In Chapter 2, we describe the structure, design and implementation of our Collaborative Object Detection Systems and present future research directions in Chapter 3.
KSP Keywords
3D Coordinates, Artificial intelligence technology, Data collected, Future research directions, Intrusion detection system(IDS), Object detection, RGB-D sensors, design and implementation, detecting objects, detection rate(DR)