Publications

Chi Zhang, Janis Sprenger, Zhongjun Ni, Christian Berger (2024). Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings. In IEEE Intelligent Vehicles Symposium (IV) 2024.

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Chi Zhang, Zhongjun Ni, Christian Berger (2023). Spatial-Temporal-Spectral LSTM: A Transferable Model for Pedestrian Trajectory Prediction. IEEE Transactions on Intelligent Vehicles.

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Chi Zhang, Christian Berger (2023). Pedestrian Behavior Prediction Using Deep Learning Methods for Urban Scenarios: A Review. IEEE Transactions on Intelligent Transportation Systems.

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Chi Zhang, Amir Hossein Kalantari, Yue Yang, Zhongjun Ni, Gustav Markkula, Natasha Merat, Christian Berger (2023). Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings. In IEEE Intelligent Vehicles Symposium (IV) 2023.

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Zhongjun Ni, Chi Zhang, Magnus Karlsson, Shaofang Gong (2023). A study of deep learning-based multi-horizon building energy forecasting. Energy & Buildings.

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Zhongjun Ni, Chi Zhang, Magnus Karlsson, Shaofang Gong (2023). Leveraging Deep Learning and Digital Twins to Improve Energy Performance of Buildings. In IEEE IESES 2023.

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Chi Zhang, Christian Berger (2022). Learning the Pedestrian-Vehicle Interaction for Pedestrian Trajectory Prediction. In IEEE ICCAR 2022.

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Chi Zhang, Christian Berger (2022). Analyzing Factors Influencing Pedestrian Behavior in Urban Traffic Scenarios Using Deep Learning. Transport Research Arena (TRA) 2022.

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Chi Zhang, Christian Berger, Marco Dozza (2021). Social-IWSTCNN: A Social Interaction-Weighted Spatio- Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios. In IEEE Intelligent Vehicles Symposium (IV) 2021.

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Chi Zhang, Christian Berger, Marco Dozza (2020). The Prediction of Pedestrian Behavior from LiDAR Data. L3Pilot Summer School 2020.

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Chi Zhang, Christian Berger, Marco Dozza (2020). Towards understanding pedestrian behavior patterns from LiDAR Data. In SAIS workshop 2020.

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