Langezijds

H. Cheng (Hao)

Onderzoeker
ITC-EOS
Langezijds 1328
h.cheng-2@utwente.nl
+31534892668
Visitekaartje

Ik ben een onderzoeker en MSCA postdoctoraal medewerker aan de ITC Faculty Geo-Information Science and Earth Observation van de Universiteit Twente in Nederland. Ik heb mijn M.Sc.-graad behaald in  Internet Technologies and Information Systems aan de TU Braunschweig, de Leibniz Universiteit Hannover, de TU Clausthal en de Universiteit Göttingen in Duitsland in 2017, en mijn Ph.D. aan de Faculty of Civil Engineering and Geodetic Science van de Leibniz Universiteit Hannover in Duitsland in 2021. Mijn onderzoeksinteresses omvatten diepgaand leren van het modelleren van het gedrag van weggebruikers in intelligente transportsystemen en autonoom rijden, en veiligheidsanalyse tussen voertuigen en kwetsbare weggebruikers.

Expertises

  • Computer Science

    • Models
    • User
    • Autonomous Driving
    • Deep Learning
    • Learning Approach
    • Communication
    • Lstm

  • Social Sciences

    • Traffic

Organisaties

Publicaties

2024

Feature Pyramid biLSTM: Using Smartphone Sensors for Transportation Mode Detection (2024)Transportation Research Interdisciplinary Perspectives, 26(2590-1982). Article 101181. Tang, Q. & Cheng, H.https://doi.org/10.1016/j.trip.2024.101181LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints (2024)In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (pp. 2039-2049). IEEE. Liu, M., Cheng, H., Chen, L., Broszio, H., Li, J., Zhao, R., Sester, M. & Yang, M. Y.https://openaccess.thecvf.com/content/CVPR2024W/MULA/html/Liu_LAformer_Trajectory_Prediction_for_Autonomous_Driving_with_Lane-Aware_Scene_Constraints_CVPRW_2024_paper.htmlAn End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images (2024)In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (pp. 2178-2185). IEEE. Cheng, H., Liu, M. & Chen, L.https://doi.org/10.1109/ITSC57777.2023.10422634Is Silent External Human–Machine Interface (eHMI) Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field (2024)International journal of human-computer interaction, 1-15. Liu, H., Li, Y., Zeg, Z., Cheng, H., Peng, C. & Wada, T.https://doi.org/10.1080/10447318.2024.2306426

2023

Gatraj: A graph-and attention-based multi-agent trajectory prediction model (2023)ISPRS journal of photogrammetry and remote sensing, 205, 163-175. Cheng, H., Liu, M., Chen, L., Broszio, H., Sester, M. & Yang, M. Y.https://doi.org/10.1016/j.isprsjprs.2023.10.001Generating Evidential BEV Maps in Continuous Driving Space (2023)ISPRS journal of photogrammetry and remote sensing, 204, 27-41. Yuan, Y., Cheng, H., Yang, M. Y. & Sester, M.https://doi.org/10.1016/j.isprsjprs.2023.08.013Tracing the Influence of Predecessors on Trajectory Prediction (2023)In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops (pp. 3253-3263). Liu, M., Cheng, H. & Yang, M. Y.https://openaccess.thecvf.com/content/ICCV2023W/ROAD++/papers/Liu_Tracing_the_Influence_of_Predecessors_on_Trajectory_Prediction_ICCVW_2023_paper.pdfAn AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road (2023)Transportation Research Interdisciplinary Perspectives, 20, 100845. Article 100845. Li, Y., Cheng, H., Zeng, Z., Deml, B. & Liu, H.https://doi.org/10.1016/j.trip.2023.100845Hybrid POI Group Recommender System based on group type in LBSN (2023)Expert systems with applications, 219. Article 119681. Sojahrood, Z. B., Taleai, M. & Cheng, H.https://doi.org/10.1016/j.eswa.2023.119681ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction (2023)In 2023 IEEE Intelligent Vehicles Symposium (IV). IEEE. Zhang, W., Cheng, H., Johora, F. T. & Sester, M.

Onderzoeksprofielen

Adres

Universiteit Twente

Langezijds (gebouwnr. 19), kamer 1328
Hallenweg 8
7522 NH Enschede

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