Regional People Counting Approach Based on Multi-frames Fusion Features Using MIMO Radar

X Huang, Z Yang - International Conference on Internet of Things …, 2022 - Springer
Considering the diversity and temporal persistence of motion states and the limitation of data
samples, we propose an approach based on multi-frames fusion features (MFFF-based) to …

Deep Learning Based People Estimation on 2D Ultra-Wideband Radar Data

CD Nguyen - 2023 - ntnuopen.ntnu.no
Denne masteroppgaven undersøker ytelsen til tre typer maskinlæringsmodeller,
Convolutional Neural Network (CNN), Residual Network (ResNet), og Convolutional Neural …

Enabling and Emerging Sensing Technologies for Crowd Avoidance in Public Transportation: A Review

D Darsena, G Gelli, I Iudice, F Verde - Authorea Preprints, 2023 - techrxiv.org
Management of crowd information in public transportation (PT) systems is crucial, both to
foster sustainable mobility, by increasing the user's comfort and satisfaction during normal …

[PDF][PDF] HRP UWB 채널임펄스응답의측정및분석.

차형호, 윤민경, 장병준 - Journal of Korean Institute of Electromagnetic …, 2022 - jkiees.org
요 약 20 년 전 등장한 UWB 무선통신기술이 무선통신을 넘어 UWB 기기 간의 정밀한 거리
측정이 가능하다는 특징이 재조명되면서 다양한 분야에서 대중화되고 있다. 현재 상용화된 …

[PDF][PDF] HRP UWB 통신의채널특성변화를이용한실내사람수파악

한수민, 차형호, 윤민경, 장병준 - 한국전자파학회논문지, 2022 - jkiees.org
요 약 HRP UWB 기술은 통신뿐만 아니라, 정밀한 거리 측정이 가능하다는 장점으로 인해 최근
관심이 집중되고 있다. 이제는 통신과 거리측정 기능을 넘어 주변 상황을 인지할 수 있는 수동 …

[引用][C] UWB 모바일폰을이용한고정밀실내측위시스템

성상모, 정재일 - 한국통신학회학술대회논문집, 2023

[引用][C] Suitability of various LiDAR and radar sensors for application in robotics: A measurable capability comparison

H Gim, S Baek, JK Park, H Lee, C Sung… - IEEE Robotics & …, 2022 - ieeexplore.ieee.org
Lidar and radar sensors are widely used to obtain depth information for various applications
in the field of robotics, such as navigation, collision avoidance, surveillance, and map …

[引用][C] A Deep Learning Approach to Multi-Human Detection and Counting using IR-UWB Radar Sensors

AJN NJANDA - 2022 - University of Brest, France