Bounding box prediction library. Official implementation of two papers on human 2D/3D bounding box prediction

PyTorch implementation of "Detecting 32 Pedestrian Attributes for Autonomous Vehicles"

It is a Pedestrian(Human) Detection which is developed using OpenCV Python

A crowd evacuation simulation tool created in Unity for architectural/BIM workflows using Speckle

A vehicle-pedestrian interaction framework for simulation.

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

A ready-to-use pedestrian simulation platform

Crowd Simulation using Social Force Model

Thesis project that models a cellular automata to simulate pedestrians in an emergency situation

Behavioral data for JAAD dataset

Crowd pressure implementation using social force model.

Scalable spatio-temporal clustering method for detection of crowd motion patterns. Implementation in Python 2.7

Papers and resources collection about pedestrian behavior estimation

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.

Robot Navigation in Crowds via Meta-learning

Exercises for the course of Machine Learning in Crowd Modelling and Simulation @ TUM

CA Model for waiting pedestrians at train station platforms.

Exploring pedestrian road-crossing intention and path prediction based on naturalistic data collected in virtual reality

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