pedestrian-behavior

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

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

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

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

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

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.

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

Papers and resources collection about pedestrian behavior estimation

Behavioral data for JAAD dataset

Crowd pressure implementation using social force model.

Gymnasium-based social navigation simulation and benchmarking for a robot moving through pedestrian-filled environments.

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

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.

Building a simple but effective waypoint-based traffic system to create believable pedestrian and vehicle traffic behaviors that will add a much more lifelike feeling to your environments.

Master's thesis project focused on implementing and expanding a Unity Project Tool made for research purposes on Pedestrian Dynamics using ML-Agents, trained following a Reinforcement Learning approach.