scholarly journals Multistage Deep Neural Network Framework for People Detection and Localization Using Fusion of Visible and Thermal Images

2020 ◽  
pp. 138-147
Author(s):  
Bushra Khalid ◽  
Muhammad Usman Akram ◽  
Asad Mansoor Khan
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
People Detection ◽  
Thermal Images ◽  
Detection And Localization

Vehicle Detection in Thermal Images Using Deep Neural Network

2018 ◽  
Author(s):  
Chin-Wei Chang ◽  
Kathiravan Srinivasan ◽  
Yung-Yao Chen ◽  
Wen-Huang Cheng ◽  
Kai-Lung Hua
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Vehicle Detection ◽  
Thermal Images

Detection and localization of helipad in autonomous UAV landing: a coupled visual-inertial approach with artificial intelligence

2020 ◽  
Vol 71 (7) ◽  
pp. 828-839
Author(s):  
Thinh Hoang Dinh ◽  
Hieu Le Thi Hong
Keyword(s):  
Neural Network ◽  
Unmanned Aerial Vehicles ◽  
Fiducial Marker ◽  
Localization Algorithm ◽  
Challenging Problem ◽  
Autonomous Landing ◽  
Aerial Vehicles ◽  
Set Up ◽  
Detection And Localization ◽  
Rotary Wing

Autonomous landing of rotary wing type unmanned aerial vehicles is a challenging problem and key to autonomous aerial fleet operation. We propose a method for localizing the UAV around the helipad, that is to estimate the relative position of the helipad with respect to the UAV. This data is highly desirable to design controllers that have robust and consistent control characteristics and can find applications in search – rescue operations. AI-based neural network is set up for helipad detection, followed by optimization by the localization algorithm. The performance of this approach is compared against fiducial marker approach, demonstrating good consensus between two estimations

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