🚸 Pedestrian dynamics simulation for Systems Simulation course at Instituto Tecnológico de Buenos Aires
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Updated
Sep 6, 2020 - Java
🚸 Pedestrian dynamics simulation for Systems Simulation course at Instituto Tecnológico de Buenos Aires
Pedestrian human detection which is developed using OpenCV Python
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
This repository contain scripts for analyzing single-file movement experiments recorded by a top-view, or side-view camera
Prediction of Pedestrian Speed with Artificial Neural Networks
tool for converting osm-data into jupedsim geometryy files
Exercises for the course of Machine Learning in Crowd Modelling and Simulation @ TUM
Exploring pedestrian road-crossing intention and path prediction based on naturalistic data collected in virtual reality
CA Model for waiting pedestrians at train station platforms.
Scalable spatio-temporal clustering method for detection of crowd motion patterns. Implementation in Python 2.7
Robot Navigation in Crowds via Meta-learning
Prediction of the intention of pedestrians to cross the street or not, using Graph Neural Networks and the coordinates of their skeleton that was previously generated using Openpose in the JAAD dataset.
Papers and resources collection about pedestrian behavior estimation
Crowd pressure implementation using social force model.
Thesis project that models a cellular automata to simulate pedestrians in an emergency situation
Crowd Simulation using Social Force Model
Code and data for "Towards Robust Human Trajectory Prediction in Raw Videos" IROS 2021
A ready-to-use pedestrian simulation platform
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