Detection and Localization of Pipeline Leaks Using 3-D Bistatic Subsurface Imaging Radars

2022 ◽  
pp. 1-1
Author(s):  
Abdulrahman Aljurbua ◽  
Kamal Sarabandi
Keyword(s):  
Subsurface Imaging ◽  
Detection And Localization

Perceptual characteristics of computerized program visualizations can differentially affect detection and localization performance

2006 ◽  
Author(s):  
Elizabeth T. Davis ◽  
Kenneth Hailston ◽  
Eileen Kraemer ◽  
Ashley Hamilton-Taylor ◽  
Philippa Rhodes ◽  
...  
Keyword(s):  
Affect Detection ◽  
Localization Performance ◽  
Perceptual Characteristics ◽  
Detection And Localization

Contactless palm landmark detection and localization on mobile devices

2016 ◽  
Vol 2016 (7) ◽  
pp. 1-6
Author(s):  
Yaqi Wang ◽  
Liangrui Peng ◽  
Shengjin Wang ◽  
Xiaoqing Ding
Keyword(s):  
Mobile Devices ◽  
Landmark Detection ◽  
Detection And Localization

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

Aeromagnetic 3D subsurface imaging of geothermal areas

2016 ◽  
Vol 69 (1) ◽  
pp. 41-51
Author(s):  
Shigeo Okuma ◽  
Tadashi Nakatsuka
Keyword(s):  
Subsurface Imaging
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