Han Fan

Articles in journals

• 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]

Conference papers

• Fan, H. , Schaffernicht, E. & Lilienthal, A. J. (2024). Identification of Gas Mixtures with Few Labels Using Graph Convolutional Networks. In:  2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). Paper presented at International Symposium on Olfaction and Electronic Nose (ISOEN 2024), Grapevine, TX, USA, May 12-15, 2024. 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. In: Danilo Tardioli; Vicente Matellán; Guillermo Heredia; Manuel F. Silva; Lino Marques,  ROBOT2022 Fifth Iberian Robotics Conference: Advances in Robotics, Volume 2. Paper presented at ROBOT2022: Fifth Iberian Robotics Conference, Zaragoza, Spain, November 23-25, 2022. (pp. 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. In:  2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) Proceedings. Paper presented at 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. In:  18th ISOCS/IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). Paper presented at 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. In:  2017 ISOCS/IEEE International Symposium on Olfaction andElectronic Nose (ISOEN 2017) Proceedings. Paper presented at 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. In:  2017 ISOCS/IEEE International Symposium on Olfaction andElectronic Nose (ISOEN 2017) Proceedings. Paper presented at 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. In:  IEEE SENSORS 2017 Conference Proceedings. Paper presented at 16th IEEE Sensors Conference, Glasgow, Scotland, UK, October 29 - November 1, 2017. (pp. 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. In:  Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Paper presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Daejeong, Korea, October 9-14, 2016. (pp. 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. In:  2016 IEEE SENSORS. Paper presented at 15th IEEE Sensors Conference (SENSORS 2016), Orlando, USA, October 30 - November 2, 2016. Institute of Electrical and Electronics Engineers (IEEE). [BibTeX]

Doctoral theses, monographs

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