Han Fan

Artiklar i tidskrifter

• Fan, H. , Schaffernicht, E. & Lilienthal, A. (2022). Ensemble Learning-Based Approach for Gas Detection Using an Electronic Nose in Robotic Applications.  Frontiers in Chemistry, 10. [BibTeX]
• Xing, Y. , Vincent, T. A. , Fan, H. , Schaffernicht, E. , Hernandez Bennetts, V. , Lilienthal, A. J. , Cole, M. & Gardner, J. W. (2019). FireNose on Mobile Robot in Harsh Environments.  IEEE Sensors Journal, 19 (24), 12418-12431. [BibTeX]
• Fan, H. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. J. (2019). Towards Gas Discrimination and Mapping in Emergency Response Scenarios Using a Mobile Robot with an Electronic Nose.  Sensors, 19 (3). [BibTeX]
• Fan, H. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. (2018). A cluster analysis approach based on exploiting density peaks for gas discrimination with electronic noses in open environments.  Sensors and actuators. B, Chemical, 259, 183-203. [BibTeX]
• Monroy, J. , Hernandez Bennetts, V. , Fan, H. , Lilienthal, A. & Gonzalez-Jimenez, J. (2017). GADEN: A 3D Gas Dispersion Simulator for Mobile Robot Olfaction in Realistic Environments.  Sensors, 17 (7), 1479-1494. [BibTeX]
• Hernandez Bennetts, V. , Kucner, T. P. , Schaffernicht, E. , Neumann, P. P. , Fan, H. & Lilienthal, A. J. (2017). Probabilistic Air Flow Modelling Using Turbulent and Laminar Characteristics for Ground and Aerial Robots.  IEEE Robotics and Automation Letters, 2 (2), 1117-1123. [BibTeX]
• Asadi, S. , Fan, H. , Hernandez Bennetts, V. & Lilienthal, A. (2017). Time-dependent gas distribution modelling.  Robotics and Autonomous Systems, 96, 157-170. [BibTeX]

Doktorsavhandlingar

• Fan, H. (2022). Robot-aided Gas Sensing for Emergency Responses. (Doctoral dissertation). Örebro: Örebro University. [BibTeX]

Konferensbidrag

• Raffeiner, A. , Haarbach, A. , Fan, H. , Lilienthal, A. J. & Pohle, R. (2025). Combining Static and Mobile Sensors on a Quadruped Robot for Adaptive and Responsive Gas Sensing with Low-Cost Sensors. I:  1st German Robotics Conference, 2025. Konferensbidrag vid 1st German Robotics Conference, Nuremberg, Germany, March 13-15, 2025. [BibTeX]
• Tian, C. , Wang, A. , Fan, H. , Wiedemann, T. , Luo, Y. , Yang, L. , Lin, W. , Lilienthal, A. J. & et al. (2025). Deep Learning Based Topography Aware Gas Source Localization with Mobile Robot. I: Ott, C,  IEEE International Conference on Robotics and Automation Proceedings. Konferensbidrag vid 2025 IEEE International Conference on Robotics and Automation (ICRA 2025), Atlanta, USA, May 19-23, 2025. (ss. 4380-4386). IEEE. [BibTeX]
• Asghari, P. , Fan, H. , Lilienthal, A. J. , Simon, A. L. & Schindler, M. (2025). Does webcam eye tracking work for mathematics education? A case study with AI-assisted enhanced data processing. I: Claudia Cornejo; Patricio Felmer; David M. Gómez; Pablo Dartnell; Paulina Araya; Armando Peri; Valeria Randolph,  Proceedings of the 48th Conference of the International Group for the Psychology of Mathematics Education. Konferensbidrag vid 48th Conference of the International Group for the Psychology of Mathematics Education (PME 2025), Santiago, Chile, July 28 - August 2, 2025. (ss. 215-215). IGPME. [BibTeX]
• Fan, H. , Lilienthal, A. J. , Baumanns, L. , Pitta-Pantazi, D. , Christou, C. & Schindler, M. (2025). Scalable AI-assisted identification of math support needs for first graders. I: Claudia Cornejo; Patricio Felmer; David M. Gómez; Pablo Dartnell; Paulina Araya; Armando Peri; Valeria Randolph,  Proceedings of the 48th Conference of the International Group for the Psychology of Mathematics Education. Konferensbidrag vid 48th Conference of the International Group for the Psychology of Mathematics Education (PME 2025), Santiago, Chile, July 28 - August 2, 2025. (ss. 248-248). IGPME. [BibTeX]
• Fan, H. , Schaffernicht, E. & Lilienthal, A. J. (2024). Identification of Gas Mixtures with Few Labels Using Graph Convolutional Networks. I:  2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). Konferensbidrag vid International Symposium on Olfaction and Electronic Nose (ISOEN 2024), Grapevine, TX, USA, May 12-15, 2024. IEEE. [BibTeX]
• Zhu, Y. , Fan, H. , Rudenko, A. , Magnusson, M. , Schaffernicht, E. & Lilienthal, A. (2024). LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow. I:  2024 IEEE International Conference on Robotics and Automation (ICRA). Konferensbidrag vid IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan, May 13-17, 2024. (ss. 11281-11288). IEEE. [BibTeX]
• Winkler, N. P. , Kotlyar, O. , Schaffernicht, E. , Fan, H. , Matsukura, H. , Ishida, H. , Neumann, P. P. & Lilienthal, A. (2022). Learning From the Past: Sequential Deep Learning for Gas Distribution Mapping. I: Danilo Tardioli; Vicente Matellán; Guillermo Heredia; Manuel F. Silva; Lino Marques,  ROBOT2022 Fifth Iberian Robotics Conference: Advances in Robotics, Volume 2. Konferensbidrag vid ROBOT2022: Fifth Iberian Robotics Conference, Zaragoza, Spain, November 23-25, 2022. (ss. 178-188). Springer. [BibTeX]
• Fan, H. , Jonsson, D. , Schaffernicht, E. & Lilienthal, A. (2022). Towards Gas Identification in Unknown Mixtures Using an Electronic Nose with One-Class Learning. I:  2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Proceedings. Konferensbidrag vid 2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN 2022), Aveiro, Portugal, May 29 - June 1, 2022. IEEE. [BibTeX]
• Fan, H. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. J. (2019). Semi-supervised Gas Detection Using an Ensemble of One-class Classifiers. I:  18th ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). Konferensbidrag vid 2019 IEEE 18th International Symposium on Olfaction and Electronic Nose (ISOEN), Fukoka, Japan, May 26-29, 2019. IEEE. [BibTeX]
• Fan, H. , Arain, M. A. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. J. (2017). Improving Gas Dispersal Simulation For Mobile Robot Olfaction: Using Robot-Created Occupancy Maps And Remote Gas Sensors In The Simulation Loop. I:  2017 ISOCS/IEEE International Symposium on Olfaction andElectronic Nose (ISOEN 2017) Proceedings. Konferensbidrag vid 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) 28-31 May 2017 Montreal, QC, Canada. IEEE conference proceedings. [BibTeX]
• Arain, M. A. , Fan, H. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. J. (2017). Improving Gas Tomography With Mobile Robots: An Evaluation of Sensing Geometries in Complex Environments. I:  2017 ISOCS/IEEE International Symposium on Olfaction andElectronic Nose (ISOEN 2017) Proceedings. Konferensbidrag vid 2017 ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) 28-31 May 2017 Montreal QC, Canada. IEEE. [BibTeX]
• Xing, Y. , Vincent, T. A. , Cole, M. , Gardner, J. W. , Fan, H. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. (2017). Mobile robot multi-sensor unit for unsupervised gas discrimination in uncontrolled environments. I:  IEEE SENSORS 2017 Conference Proceedings. Konferensbidrag vid 16th IEEE Sensors Conference, Glasgow, Scotland, UK, October 29 - November 1, 2017. (ss. 1691-1693). New York: Institute of Electrical and Electronics Engineers (IEEE). [BibTeX]
• Hernandez Bennetts, V. , Schaffernicht, E. , Lilienthal, A. J. , Fan, H. , Kucner, T. P. , Andersson, L. & Johansson, A. (2016). Towards occupational health improvement in foundries through dense dust and pollution monitoring using a complementary approach with mobile and stationary sensing nodes. I:  Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Konferensbidrag vid IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Daejeong, Korea, October 9-14, 2016. (ss. 131-136). Institute of Electrical and Electronics Engineers (IEEE). [BibTeX]
• Fan, H. , Hernandez Bennetts, V. , Schaffernicht, E. & Lilienthal, A. J. (2016). Unsupervised gas discrimination in uncontrolled environments by exploiting density peaks. I:  2016 IEEE SENSORS. Konferensbidrag vid 15th IEEE Sensors Conference (SENSORS 2016), Orlando, USA, October 30 - November 2, 2016. Institute of Electrical and Electronics Engineers (IEEE). [BibTeX]