Robotic vision for human-robot interaction and collaboration: A survey and systematic review

N Robinson, B Tidd, D Campbell, D Kulić… - ACM Transactions on …, 2023 - dl.acm.org
Robotic vision, otherwise known as computer vision for robots, is a critical process for robots
to collect and interpret detailed information related to human actions, goals, and …

A deep survey on supervised learning based human detection and activity classification methods

MA Khan, M Mittal, LM Goyal, S Roy - Multimedia Tools and Applications, 2021 - Springer
Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …

A data-driven approach for bearing fault prognostics

X Jin, Z Que, Y Sun, Y Guo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Bearing is a critical component widely used in rotary machines. Bearing failure can cause
damages of other components and lead to a lengthy downtime of the machine and costly …

CNN and HOG based comparison study for complete occlusion handling in human tracking

MF Aslan, A Durdu, K Sabanci, MA Mutluer - Measurement, 2020 - Elsevier
Abstract Applications in the Human Machine Interaction (HMI) field are increasing since
people and robots share the same environment and perform activities together. Therefore …

A kinect-based real-time compressive tracking prototype system for amphibious spherical robots

S Pan, L Shi, S Guo - Sensors, 2015 - mdpi.com
A visual tracking system is essential as a basis for visual servoing, autonomous navigation,
path planning, robot-human interaction and other robotic functions. To execute various tasks …

Modular reconfigurable robot distributed computing system for tracking multiple objects

AM Romanov, MP Romanov, SV Manko… - IEEE Systems …, 2020 - ieeexplore.ieee.org
A modular reconfigurable robot (MRR) is considered as a system of systems; that is, a robot
control system consists of modular systems. For an MRR, onboard tracking of multiple …

Motion prediction and robust tracking of a dynamic and temporarily-occluded target by an unmanned aerial vehicle

JM Li, CW Chen, TH Cheng - IEEE Transactions on Control …, 2020 - ieeexplore.ieee.org
A tracking controller for unmanned aerial vehicles (UAVs) is developed to track moving
targets in the presence of occlusion. The controller can track moving targets based on a …

Variational Bayesian adaptive unscented Kalman filter for RSSI-based indoor localization

B Yang, X Jia, F Yang - International Journal of Control, Automation and …, 2021 - Springer
Most existing localization schemes necessitate a priori statistical characteristic of
measurement noise, which may be unrealistic in practical applications. This paper …

Novel robust indoor device-free moving-object localization and tracking using machine learning with Kalman filter and smoother

G Liu, P Neupane, HC Wu, W Xiang, L Pu… - IEEE Systems …, 2022 - ieeexplore.ieee.org
A novel robust device-free moving-object localization and tracking approach incorporating a
machine-learning classifier with both Kalman filter and Kalman smoother is proposed in this …

[HTML][HTML] Robust adaptive UKF based on SVR for inertial based integrated navigation

H Dai, B Hu, Q Chen - Defence Technology, 2020 - Elsevier
Aiming at the problem that the traditional Unscented Kalman Filtering (UKF) algorithm can't
solve the problem that the measurement covariance matrix is unknown and the measured …