| Keypoints-based deep feature fusion for cooperative vehicle detection of autonomous driving Y Yuan, H Cheng, M Sester IEEE Robotics and Automation Letters 7 (2), 3054-3061, 2022 | 72 | 2022 |
| AMENet: Attentive Maps Encoder Network for Trajectory Prediction H Cheng, W Liao, MY Yang, B Rosenhahn, M Sester ISPRS Journal of Photogrammetry and Remote Sensing 172, 253-266, 2021 | 50 | 2021 |
| Exploring Dynamic Context for Multi-path Trajectory Prediction H Cheng, W Liao, X Tang, MY Yang, M Sester, B Rosenhahn 2021 IEEE International Conference on Robotics and Automation (ICRA), 12795 …, 2021 | 39 | 2021 |
| Laformer: Trajectory prediction for autonomous driving with lane-aware scene constraints M Liu, H Cheng, L Chen, H Broszio, J Li, R Zhao, M Sester, MY Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 36 | 2024 |
| Gatraj: A graph-and attention-based multi-agent trajectory prediction model H Cheng, M Liu, L Chen, H Broszio, M Sester, MY Yang ISPRS Journal of Photogrammetry and Remote Sensing 205, 163-175, 2023 | 36 | 2023 |
| Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users Y Li, H Cheng, Z Zeng, H Liu, M Sester 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 35 | 2021 |
| Pedestrian group detection in shared space H Cheng, Y Li, M Sester 2019 IEEE intelligent vehicles symposium (IV), 1707-1714, 2019 | 25 | 2019 |
| Modeling mixed traffic in shared space using lstm with probability density mapping H Cheng, M Sester 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 25 | 2018 |
| Trajectory Modelling in Shared Spaces: Expert-Based vs. Deep Learning Approach?⋆ H Cheng, FT Johora, M Sester, JP Müller | 24 | 2020 |
| Mixed traffic trajectory prediction using lstm–based models in shared space H Cheng, M Sester Geospatial Technologies for All: Selected Papers of the 21st AGILE …, 2018 | 24 | 2018 |
| MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic H Cheng, W Liao, MY Yang, M Sester, B Rosenhahn 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 21* | 2020 |
| An agent-based model for trajectory modelling in shared spaces: A combination of expert-based and deep learning approaches FT Johora, H Cheng, JP Müller, M Sester Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 18 | 2020 |
| Hybrid POI Group Recommender System based on group type in LBSN ZB Sojahrood, M Taleai, H Cheng Expert Systems with Applications, 119681, 2023 | 10 | 2023 |
| The influence of city size on dietary choices and food recommendation H Cheng, M Rokicki, E Herder Proceedings of the 25th conference on user modeling, adaptation and …, 2017 | 10 | 2017 |
| The influence of city size on dietary choices H Cheng, M Rokicki, E Herder Adjunct Publication of the 25th Conference on User Modeling, Adaptation and …, 2017 | 10 | 2017 |
| ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction W Zhang, H Cheng, FT Johora, M Sester 2023 IEEE Intelligent Vehicles Symposium (IV), 2023 | 8 | 2023 |
| Generating Evidential BEV Maps in Continuous Driving Space Y Yuan, H Cheng, MY Yang, M Sester ISPRS Journal of Photogrammetry and Remote Sensing 204, 27-41, 2023 | 8 | 2023 |
| GaVe: A webcam-based gaze vending interface using one-point calibration Z Zeng, S Liu, H Cheng, H Liu, Y Li, Y Feng, FW Siebert Journal of Eye Movement Research 16 (1), 2023 | 5 | 2023 |
| Occupant monitoring in automated vehicles: Classification of situation awareness based on head movements while cornering F Schewe, H Cheng, A Hafner, M Sester, M Vollrath Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63 (1 …, 2019 | 5 | 2019 |
| An AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road Y Li, H Cheng, Z Zeng, B Deml, H Liu Transportation research interdisciplinary perspectives 20, 100845, 2023 | 4 | 2023 |
Monika Sesterprofessor in geographic information science, leibniz university hannover在 ikg.uni-hannover.de 的电子邮件经过验证
