Prädiktion von zukünftigen Fußgänger-Trajektorien/Bewegungsbahnen mithilfe eines LSTM-Neuronalen Netzes.
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Updated
Dec 11, 2021 - Jupyter Notebook
Prädiktion von zukünftigen Fußgänger-Trajektorien/Bewegungsbahnen mithilfe eines LSTM-Neuronalen Netzes.
Dashboard: Analysis of pedestrian dynamics based on trajectory files
Code and data for "Towards Robust Human Trajectory Prediction in Raw Videos" IROS 2021
Prediction of pedestrian trajectories in indoor environment
Official code for AAAI 2023 paper "Multi-stream Representation Learning for Pedestrian Trajectory Prediction"
Implementation of Arc-LSTM-SMF model, and its standalone parts, to the task of pedestrian trajectory forecast
Interactive Map with Data Analysis of Data Collection compaing in Madras Project
Primers and examples to analyze the pedestrian tracking dataset collected at Eindhoven University of Technology (see https://doi.org/10.1103/PhysRevE.95.032316 )
Collection of Papers in Trajectory Prediction categorised according to the high-level structure
Data preprocessing for IUPUI-CSRC Pedestrian Situated Intent (PSI) benchmark dataset.
Code for: "Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation" Accepted @ ECCV2022
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
A selection of state-of-the-art research materials on trajectory prediction
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