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Han Fan
Han Fan
Ph.D. in Robotic Olfaction, Örebro University
Verified email at oru.se - Homepage
Title
Cited by
Cited by
Year
GADEN: A 3D gas dispersion simulator for mobile robot olfaction in realistic environments
J Monroy, V Hernandez-Bennetts, H Fan, A Lilienthal, ...
Sensors 17 (7), 1479, 2017
972017
Towards gas discrimination and mapping in emergency response scenarios using a mobile robot with an electronic nose
H Fan, V Hernandez Bennetts, E Schaffernicht, AJ Lilienthal
Sensors 19 (3), 685, 2019
452019
A cluster analysis approach based on exploiting density peaks for gas discrimination with electronic noses in open environments
H Fan, VH Bennetts, E Schaffernicht, AJ Lilienthal
Sensors and Actuators B: Chemical 259, 183-203, 2018
332018
FireNose on mobile robot in harsh environments
Y Xing, TA Vincent, H Fan, E Schaffernicht, VH Bennetts, AJ Lilienthal, ...
IEEE Sensors Journal 19 (24), 12418-12431, 2019
252019
Mobile robot multi-sensor unit for unsupervised gas discrimination in uncontrolled environments
Y Xing, TA Vincent, M Cole, JW Gardner, H Fan, VH Bennetts, ...
2017 IEEE SENSORS, 1-3, 2017
222017
Time-dependent gas distribution modelling
S Asadi, H Fan, VH Bennetts, AJ Lilienthal
Robotics and Autonomous Systems 96, 157-170, 2017
212017
Towards occupational health improvement in foundries through dense dust and pollution monitoring using a complementary approach with mobile and stationary sensing nodes
VH Bennetts, E Schaffernicht, AJ Lilienthal, H Fan, TP Kucner, ...
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
192016
Probabilistic air flow modelling using turbulent and laminar characteristics for ground and aerial robots
VH Bennetts, TP Kucner, E Schaffernicht, PP Neumann, H Fan, ...
IEEE robotics and automation letters 2 (2), 1117-1123, 2017
172017
Ensemble learning-based approach for gas detection using an electronic nose in robotic applications
H Fan, E Schaffernicht, AJ Lilienthal
Frontiers in chemistry 10, 863838, 2022
72022
Improving gas dispersal simulation for mobile robot olfaction: Using robot-created occupancy maps and remote gas sensors in the simulation loop
H Fan, MA Arain, VH Bennett, E Schaffernicht, AJ Lilienthal
2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose …, 2017
62017
Improving gas tomography with mobile robots: An evaluation of sensing geometries in complex environments
MA Arain, H Fan, VH Bennetts, E Schaffernicht, AJ Lilienthal
2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose …, 2017
32017
Unsupervised gas discrimination in uncontrolled environments by exploiting density peaks
H Fan, VH Bennetts, E Schaffernicht, AJ Lilienthal
2016 IEEE SENSORS, 1-3, 2016
32016
Semi-supervised gas detection using an ensemble of one-class classifiers
H Fan, VH Bennett, E Schaffernicht, AJ Lilienthal
2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), 1-4, 2019
22019
LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow
Y Zhu, H Fan, A Rudenko, M Magnusson, E Schaffernicht, AJ Lilienthal
arXiv preprint arXiv:2403.13640, 2024
2024
Learning From the Past: Sequential Deep Learning for Gas Distribution Mapping
NP Winkler, O Kotlyar, E Schaffernicht, H Fan, H Matsukura, H Ishida, ...
Iberian Robotics conference, 178-188, 2022
2022
Towards Gas Identification in Unknown Mixtures Using an Electronic Nose with One-Class Learning
H Fan, D Jonsson, E Schaffernicht, AJ Lilienthal
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), 1-4, 2022
2022
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