Hao Cheng

Arbeitete als wissenschaftlicher Mitarbeiter im DFG-Graduiertenkollege SocialCars. Er erforschte die Möglichkeit, aus beobachteten Trajektorien von Fußgängern oder Fahrzeugen die nächsten Zeitschritte der Bewegungen zu prädizieren.

 

 

Publikationen

Begutachtete Zeitschriftenartikel und Buchkapitel

  • 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 DrivingIEEE 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 PredictionISPRS Journal of Photogrammetry and Remote Sensing More Info
    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 ApproachISPRS International Journal of Geo-Information
    DOI: https://doi.org/10.3390/ijgi9110652

Begutachtete Konferenzbeiträge

  • Yang Li, Hao Cheng, Zhe Zeng, Hailong Liu, Monika Sester (2021): Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road UsersAccepted of publication in proceedings of 2021 IEEE 24th International Conference on Intelligent Transportation Systems (ITSC) More Info
    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 More Info
  • 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 Intersection2020 IEEE Intelligent Vehicles Symposium (IV) | File |
    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 PredictionAccepted for publication in ICRA 2021 | File | More Info
    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 Traffic2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) More Info
    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 ApproachesProceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems More Info
  • 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 CorneringProceedings 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 Mapping2018 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 space21st 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 recommendationProceedings 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 choicesAdjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization
    DOI: 10.1145/3099023.3099058

Konferenzbeiträge

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

Monographien

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

Diskussionspapier

  • 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 AttentionArXiv More Info
    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.