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 )

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

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

Prediction of pedestrian trajectories in indoor environment

Convert txt trajectories to json for project Mobius

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

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