Cheng - Publikationen

Yuan, Y., Cheng, H., Yang, M. Y., & Sester, M. (2023): Generating Evidential BEV Maps in Continuous Driving Space,  ISPRS Journal of Photogrammetry and Remote Sensing, Volume 204, Pages 27-41
DOI: https://doi.org/10.1016/j.isprsjprs.2023.08.013
ISSN: ISSN 0924-2716

Cheng, H., Lei, H., Zourlidou, S., Sester, M. (2022): Traffic Control Recognition with an Attention Mechanism Using Speed-Profile and Satellite Imagery data.,  The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2022, pp. 287–293

Yuan, Y., Cheng, H. & Sester, M. (2022): Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving,  IEEE Robotics and Automation Letters. 7, 2, S. 3054 - 3061 8 S.

Hao Cheng, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn, Monika Sester (2021): AMENet: Attentive Maps Encoder Network for Trajectory Prediction,  ISPRS Journal of Photogrammetry and Remote Sensing Weitere Informationen
DOI: 10.1016/j.isprsjprs.2020.12.004
arXiv: 2006.08264

Hao Cheng, Stefania Zourlidou, Monika Sester (2020): Traffic Control Recognition with Speed-Profiles: A Deep Learning Approach,  ISPRS International Journal of Geo-Information
DOI: https://doi.org/10.3390/ijgi9110652

Zhang W., Cheng H., Johora F.T., Sester M. (2023): ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction,  IEEE Intelligent Vehicles Symposium, Proceedings
DOI: 10.1109%2fIV55152.2023.10186643

Yang Li, Hao Cheng, Zhe Zeng, Hailong Liu, Monika Sester (2021): Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users,  Accepted of publication in proceedings of 2021 IEEE 24th International Conference on Intelligent Transportation Systems (ITSC) Weitere Informationen
arXiv: arXiv:2104.06916

Cheng, Hao Johora, Fatema T Sester, Monika Müller, Jörg P (2020): Trajectory Modelling in Shared Spaces: Expert-Based vs. Deep Learning Approach?,  International Workshop on Multi-Agent Systems and Agent-Based Simulation Weitere Informationen

Hao Cheng, Hailong Liu, Takatsugu Hirayama, Fumito Shinmura, Naoki Akai, Hiroshi Murase (2020): Automatic Interaction Detection Between Vehicles and Vulnerable Road Users During Turning at an Intersection,  2020 IEEE Intelligent Vehicles Symposium (IV) | Datei |
DOI: 10.1109/IV47402.2020.9304554

Hao Cheng, Wenbo Liao, Xuejiao Tang, Michael Ying Yang, Monika Sester, Bodo Rosenhahn (2020): Exploring Dynamic Context for Multi-path Trajectory Prediction,  Accepted for publication in ICRA 2021 | Datei | Weitere Informationen
arXiv: arXiv:2010.16267v3

Hao Cheng, Wentong Liao, Michael Ying Yang, Monika Sester and Bodo Rosenhahn (2020): MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic,  2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) Weitere Informationen
DOI: 10.1109/ITSC45102.2020.9294296
arXiv: 2002.05966

Johora, Fatema T Cheng, Hao Müller, Jörg P Sester, Monika (2020): An Agent-Based Model for Trajectory Modelling in Shared Spaces: A Combination of Expert-Based and Deep Learning Approaches,  Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems Weitere Informationen

Cheng, H., Li, Y., & Sester, M. (2019): Pedestrian Group Detection in Shared Space.,  2019 IEEE Intelligent Vehicles Symposium (IV) (pp. 1707-1714). IEEE.

Frederik Schewe, Hao Cheng, Alexander Hafner, Monika Sester, and Mark Vollrath (2019): Occupant Monitoring in Automated Vehicles: Classification of Situation Awareness Based on Head Movements While Cornering,  Proceedings of the Human Factors and Ergonomics Society Annual Meeting
DOI: 10.1177/1071181319631048

H. Cheng and M. Sester (2018): Modeling Mixed Traffic in Shared Space Using LSTM with Probability Density Mapping,  2018 21st International Conference on Intelligent Transportation Systems (ITSC)
DOI: 10.1109/ITSC.2018.8569757

H. Cheng and M. Sester (2018): Mixed traffic trajectory prediction using LSTM–based models in shared space,  21st AGILE Conference on Geographic Information Science, 2018; Lund; Sweden, Volume part F3, 2018, Pages 309-325

Hao Cheng, Markus Rokicki, Eelco Herder (2017): The influence of city size on dietary choices and food recommendation,  Proceedings of the 25th conference on user modeling, adaptation and personalization
DOI: 10.1145/3079628.3079641
ISBN: 978-1-4503-4635-1/17/07

Hao Cheng, Markus Rokicki, Eelco Herder (2017): The influence of city size on dietary choices,  Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization
DOI: 10.1145/3099023.3099058

Feng, Y., Tang, S., Cheng, H., Sester, M. (2019): Flood level estimation from news articles and flood detection from satellite image sequences,  Working Notes Proceedings of the MediaEval 2019 Workshop, Sophia-Antipolis, France, 27-29 October 2019. Weitere Informationen

Hao Cheng (2021): Deep Learning of User Behavior in Shared Spaces,  Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften Reihe C, Dissertationen, Heft Nr. 872, München 2021 Weitere Informationen
ISBN: 978-3-7696-5284-0
ISSN: 0065-5325

Liu, M. Cheng, H.; Chen, L.; Broszio, H.; Li, J.; Zhao, R. et al. (2023): LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints
arXiv: http://arxiv.org/pdf/2302.13933v1

Hao Cheng, Li Feng, Hailong Liu, Takatsugu Hirayama, Hiroshi Murase, Monika Sester (2021): Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention,  ArXiv Weitere Informationen
arXiv: 2105.03891

Sester, M., Vollrath, M., & Cheng, H. (2021): Improving Take-over Situation by Active Communication
arXiv: 2106.06255

Yuan, Y., Cheng, H., & Sester, M. (2021): Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving
arXiv: 2109.11615.