Results 1 to 10 of about 2,647 (173)
Diffraction Signal-Based Human Recognition in Non-Line-of-Sight (NLOS) Situation for Millimeter Wave Radar [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 In driver assistance or self-driving systems, millimeter-wave radar is an indispensable sensing tool because of its applicability to all weather conditions or non-line-of-sight (NLOS) sensing.This study focuses on a human recognition issue in the NLOS scenario by applying the support vector machine (SVM)-based machine learning approach to a diffraction
Shouhei Kidera
exaly +3 more sources
Hyper-NLOS: hyperspectral passive non-line-of-sight imaging
Optics ExpressPassive non-line-of-sight (NLOS) imaging has potential applications in autonomous driving and search and rescue, but current deep learning approaches often produce suboptimal images due to sparse and homogeneous projection features, leading to an ill-posed reconstruction process.
Mingyang Chen +2 more
exaly +3 more sources
Ultrasound synthetic aperture non-line-of-sight imaging [PDF]
Communications PhysicsNon-line-of-sight (NLOS) imaging typically relies on the use of ultrashort laser pulses and time-resolved detection to then reconstruct 3D environments that are hidden from the direct line-of-sight.
Tailin Li +6 more
doaj +2 more sources
Non-Line-of-Sight Moving Target Detection Method Based on Noise Suppression
Remote Sensing, 2022 At the present time, most of existing security systems only detect and track targets in line-of-sight (LOS). However, in practice, the locations of targets are often out of the line of sight.
Yilin Wei +3 more
doaj +3 more sources
Material Classification from Non-Line-of-Sight Acoustic Echoes Using Wavelet-Acoustic Hybrid Feature Fusion [PDF]
SensorsAcoustic material classification under non-line-of-sight (NLOS) conditions—where direct sound paths are obstructed—is a challenging task due to echo attenuation, complex reflections, and noise effects. This study aims to improve NLOS material recognition
Dilan Onat Alakuş, İbrahim Türkoğlu
doaj +2 more sources
A Localization Enhancement Method Based on Direct-Path Identification and Tracking for Future Networks [PDF]
SensorsLocalization is one of the essential problems in the Internet of Things (IoT). Dynamic changes in the radio environment may lead to poor localization accuracy or discontinuous localization in non-line-of-sight (NLOS) scenarios.
Yuhong Huang, Youping Zhao
doaj +2 more sources
NLOS-NeuS: Non-line-of-sight Neural Implicit Surface
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 ICCV ...
Yuki Fujimura +3 more
openaire +2 more sources
PI-NLOS: polarized infrared non-line-of-sight imaging
Optics Express, 2023 Passive non-line-of-sight (NLOS) imaging is a promising technique to enhance visual perception for the occluded object hidden behind the wall. Here we present a data-driven NLOS imaging framework by using polarization cue and long-wavelength infrared (LWIR) images.
Hao Liu +8 more
openaire +2 more sources
Sensors, 2021 Under mixed sparse line-of-sight/non-line-of-sight (LOS/NLOS) conditions, how to quickly achieve high positioning accuracy is still a challenging task and a critical problem in the last dozen years.
Chengwen He, Yunbin Yuan, Bingfeng Tan
doaj +1 more source
A Succinct Method for Non-Line-of-Sight Mitigation for Ultra-Wideband Indoor Positioning System
Sensors, 2022 Ultra-wideband (UWB) is a promising indoor position technology with centimetre-level positioning accuracy in line-of-sight (LOS) situations. However, walls and other obstacles are common in an indoor environment, which can introduce non-line-of-sight ...
Ang Liu +3 more
doaj +1 more source