Intelligent Monitoring Targets Using Visible and Infrared Sensors on UAV

Junyu Wei*, Zongqing Zhao, Shaojing Su, Zhen Zuo, Xiaoyong Sun, Xiaozhong Tong, Wei Chen

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

The unmanned air vehicle (UAV) demonstrates its prowess in capturing visual data within specific target domains and employing advanced algorithms, often grounded in deep learning or computer vision, to detect and estimate the geospatial coordinates of targets. UAV-based target monitoring, including detection and localization, come with numerous advantages, such as panoramic views, operational versatility, and compatibility with cutting-edge algorithms. Moreover, the fusion of visible and infrared imagery further enhances target detection and discrimination, even in varied environmental conditions. The fusion of dual-light technology with UAVs is introduced as a resilient and flexible framework for target detection and localization. This paper posits that this integration effectively harnesses the inherent strengths of both technologies, resulting in a proficient framework for target monitoring across diverse scenarios. We assert that the amalgamation of dual-light technology and UAVs optimizes their inherent capabilities, offering a robust and adaptable framework for precise target detection and localization across a spectrum of scenarios. The experimental results presented herein validate the efficacy of this approach in detecting and localizing targets under challenging conditions encompassing both infrared and visible imaging.

Original languageEnglish
Title of host publicationRobot Intelligence Technology and Applications 8 - Results from the 11th International Conference on Robot Intelligence Technology and Applications
EditorsAnwar P. P. Abdul Majeed, Eng Hwa Yap, Pengcheng Liu, Xiaowei Huang, Anh Nguyen, Wei Chen, Ue-Hwan Kim
PublisherSpringer Science and Business Media Deutschland GmbH
Pages136-146
Number of pages11
ISBN (Print)9783031706868
DOIs
Publication statusPublished - 2024
Event11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023 - Taicang, China
Duration: 6 Dec 20238 Dec 2023

Publication series

NameLecture Notes in Networks and Systems
Volume1133 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference11th International Conference on Robot Intelligence Technology and Applications, RiTA 2023
Country/TerritoryChina
CityTaicang
Period6/12/238/12/23

Keywords

  • Deep learning
  • Infrared sensor
  • Intelligent target monitoring
  • Visible sensor

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