Hi, I'm Hao Cheng, a Researcher at ITC Faculty Geo-Information Science and Earth Observation from University of Twente, The Netherlands.

Currently, I am a recipient of Marie Skłodowska-Curie Actions (MSCA) European Postdoctoral Fellowship with the 101062870 - VeVuSafety project that aims to learn the interactions between vehicles and vulnerable road users to facilitate safer Intelligent Transportation Systems and Autonomous Driving.

My research interest includes deep learning of road user behavior modeling in Intelligent Transport Systems and Autonomous Driving and Safety Analysis between vehicles and vulnerable road users.

I acquired my M.Sc. degree (with distinction) in Internet Technologies and Information Systems from TU Braunschweig, Leibniz University Hannover, TU Clausthal, and University Göttingen, Germany, in 2017, and Ph.D. (with distinction) at the Faculty of Civil Engineering and Geodetic Science, Leibniz University Hannover, Germany, 2021. 

Find more about me in my CV and my research at Google Scholar.

📧h(dot)cheng-2(at)utwente.nl

 

News

2024

2023

Research Projects

Selected Publications

Hailong Liu, Yang Li, Zhe Zeng, Hao Cheng, Chen Peng, Takahiro Wada, Is Silent eHMI Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field, International Journal of Human–Computer Interaction

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Yunshuang Yuan, Hao Cheng, Michael Ying Yang, Monika Sester, Generating evidential BEV maps in continuous driving space, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 204, 2023, Pages 27-41, ISSN 0924-2716, https://doi.org/10.1016/j.isprsjprs.2023.08.013.

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Cheng, H., & Chen, L. (2023). An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images. arXiv preprint arXiv:2308.05026. ITSC 2023.

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Liu, M., Cheng, H., Chen, L., Broszio, H., Li, J., Zhao, R., ... & Yang, M. Y. (2023). LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints. arXiv preprint arXiv:2302.13933.

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Liu, M., Cheng, H., & Yang, M. Y. (2023). Tracing the Influence of Predecessors on Trajectory Prediction. arXiv preprint arXiv:2308.05634. Accepted at ICCVW 2023.

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Cheng, H., Liu, M., Chen, L., Broszio, H., Sester, M., & Yang, M. Y. (2023). Gatraj: A graph-and attention-based multi-agent trajectory prediction model. ISPRS Journal of Photogrammetry and Remote Sensing, 205, 163-175. 

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W. Zhang, H. Cheng, F. T. Johora and M. Sester, "ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction," 2023 IEEE Intelligent Vehicles Symposium (IV), Anchorage, AK, USA, 2023, pp. 1-7, doi: 10.1109/IV55152.2023.10186643.

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Sojahrood, Z. B., Taleai, M., & Cheng, H. (2023). Hybrid POI group recommender system based on group type in LBSN. Expert Systems with Applications, 219, 119681. 

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Li, Y., Cheng, H., Zeng, Z., Deml, B., & Liu, H. (2023). An AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road. Transportation Research Interdisciplinary Perspectives, 20, 100845. 

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Y. Yuan, H. Cheng and M. Sester, "Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving," in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 3054-3061, April 2022, doi: 10.1109/LRA.2022.3143299. 

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H. Cheng, W. Liao, X. Tang, M. Y. Yang, M. Sester and B. Rosenhahn, "Exploring Dynamic Context for Multi-path Trajectory Prediction," 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 2021, pp. 12795-12801, doi: 10.1109/ICRA48506.2021.9562034.

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Cheng, H., Liao, W., Yang, M. Y., Rosenhahn, B., & Sester, M. (2021). Amenet: Attentive maps encoder network for trajectory prediction. ISPRS Journal of Photogrammetry and Remote Sensing, 172, 253-266. 

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