Night-time Detection of UAVs using Thermal Infrared Camera

被引:51
|
作者
Andrasi, Petar [1 ]
Radisic, Tomislav [1 ]
Mustra, Mario [1 ]
Ivosevic, Jurica [1 ]
机构
[1] Univ Zagreb, Fac Transport & Traff Sci, HR-10000 Zagreb, Croatia
来源
NAIR 2017: AIR TRANSPORT GROWTH - WHAT ARE THE LIMITS? | 2017年 / 28卷
关键词
UAV; thermal infrared; surveillance; detection;
D O I
10.1016/j.trpro.2017.12.184
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
With the proliferation of Unmanned Aerial Vehicles (UAVs), a series of safety and security challenges emerged. In recent years there have been numerous safety and security incidents with UAVs which prompted an increase in research of surveillance and interdiction methods tailored for UAVs. Detecting UAVs in flight can become very difficult in some circumstances such as during the night, in low visibility, or in urban environments. Thermal infrared cameras can detect small variations in heat on the level of tens of mK. Electrically powered UAVs do not produce large amounts of heat compared to aircraft powered by fuel combustion. This is because the electric motors are more efficient than combustion engines and because the air around the UAV is rapidly circulated. In this paper we have tested the applicability of a lowcost long-wave infrared sensor for detection of various UAVs in flight. (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码:183 / 190
页数:8
相关论文
共 50 条
  • [1] Pedestrian Detection and Distance Estimation Using Thermal Camera in Night Time
    Kim, JongBae
    2019 1ST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION (ICAIIC 2019), 2019, : 463 - 466
  • [2] Visibility estimation under night-time conditions using a multiband camera
    Kidono, Kiyosumi
    Ninomiya, Yoshiki
    2007 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1-3, 2007, : 482 - 487
  • [3] Night-time Road Boundary Detection with Infrared Channel Features Classifier
    Dai, Jing
    Fang, Yuqiang
    Wu, Tao
    Zhao, Dawei
    He, Hangen
    2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY (CIT), 2014, : 751 - 755
  • [4] Night-time Pedestrian Detection by Visual-Infrared Video Fusion
    Chen, Yuxi
    Han, Chongzhao
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 5079 - 5084
  • [5] Night-Time Vehicle Distance Estimation Using Camera Geometry and Deep Learning
    Trong-Hop Do
    Dang-Khoa Tran
    Dinh-Quang Hoang
    Minh-Quan Pham
    Quang-Dung Pham
    Nhu-Ngoc Dao
    Lee, Chunghyun
    Cho, Sungrae
    35TH INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN 2021), 2021, : 853 - 857
  • [6] DETERMINATION OF NIGHT-TIME THERMAL GRADIENTS IN A GREENHOUSE USING COMPUTATIONAL THERMAL DYNAMICS
    Espinal-Montes, Veronica
    Lorenzo Lopez-Cruz, I.
    Rojano-Aguilar, Abraham
    Romantchik-Kriuchova, Eugenio
    Ramirez-Arias, Armando
    AGROCIENCIA, 2015, 49 (03) : 233 - 247
  • [7] Software Simulation of Unobtrusive Falls Detection at Night-Time Using Passive Infrared and Pressure Mat Sensors
    Ariani, Arni
    Redmond, Stephen J.
    Chang, David
    Lovell, Nigel H.
    2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, : 2115 - 2118
  • [8] CNN-Based Person Detection Using Infrared Images for Night-Time Intrusion Warning Systems
    Park, Jisoo
    Chen, Jingdao
    Cho, Yong K.
    Kang, Dae Y.
    Son, Byung J.
    SENSORS, 2020, 20 (01)
  • [9] Object detection, recognition, and tracking from UAVs using a thermal camera
    Leira, Frederik S.
    Helgesen, Hakon Hagen
    Johansen, Tor Arne
    Fossen, Thor I.
    JOURNAL OF FIELD ROBOTICS, 2021, 38 (02) : 242 - 267
  • [10] Lane Departure System Design using with IR Camera for Night-time Road Conditions
    Miman, Mehmet
    Akirmak, Osman Onur
    Korkmaz, Hakki Can
    TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS, 2015, 4 (01): : 54 - 59