There are 1 repository under pedestrian-behavior topic.
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 ready-to-use pedestrian simulation platform
A vehicle-pedestrian interaction framework for simulation.
Code and data for "Towards Robust Human Trajectory Prediction in Raw Videos" IROS 2021
Thesis project that models a cellular automata to simulate pedestrians in an emergency situation
Crowd Simulation using Social Force Model
Crowd pressure implementation using social force model.
Robot Navigation in Crowds via Meta-learning
Papers and resources collection about pedestrian behavior estimation
Scalable spatio-temporal clustering method for detection of crowd motion patterns. Implementation in Python 2.7
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
Exercises for the course of Machine Learning in Crowd Modelling and Simulation @ TUM
Prediction of Pedestrian Speed with Artificial Neural Networks
tool for converting osm-data into jupedsim geometryy files
This repository contain scripts for analyzing single-file movement experiments recorded by a top-view, or side-view camera
Pedestrian human detection which is developed using OpenCV Python
🚸 Pedestrian dynamics simulation for Systems Simulation course at Instituto Tecnológico de Buenos Aires