A selection of state-of-the-art research materials on trajectory prediction

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

Code for: "Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation" Accepted @ ECCV2022

Collection of Papers in Trajectory Prediction categorised according to the high-level structure

Code and data for "Towards Robust Human Trajectory Prediction in Raw Videos" IROS 2021

Official code for AAAI 2023 paper "Multi-stream Representation Learning for Pedestrian Trajectory Prediction"

Data preprocessing for IUPUI-CSRC Pedestrian Situated Intent (PSI) benchmark dataset.

Dashboard: Analysis of pedestrian dynamics based on trajectory files

Primers and examples to analyze the pedestrian tracking dataset collected at Eindhoven University of Technology (see https://doi.org/10.1103/PhysRevE.95.032316 )

Prädiktion von zukünftigen Fußgänger-Trajektorien/Bewegungsbahnen mithilfe eines LSTM-Neuronalen Netzes.

Implementation of Arc-LSTM-SMF model, and its standalone parts, to the task of pedestrian trajectory forecast

Prediction of pedestrian trajectories in indoor environment

Convert txt trajectories to json for project Mobius

Interactive Map with Data Analysis of Data Collection compaing in Madras Project

Walk the Line: The role of gender and culture on the movement patterns of pedestrians based on a multicultural study

Walk the Line: The role of gender and culture on the movement patterns of pedestrians based on a multicultural study