A geospatial dataset focusing on walkability and pedestrian access

Results from 2014 Newport pedestrian safety survey conducted by the Bicycle and Pedestrian Advisory Commission

Python tools for working with PedX dataset.

This project uses Histogram of Oriented Gradients for pedestrian detection and Kalman Filter for tracking and prediction

Smart IoT system for managing people congestion in delimited spaces.

Social Distancing Alert System

AI car & pedestrian tracking in python utilizing computer vision

An AI based system that do detects the cars and the pedestrians from a captured video.

A Lightweight Residual Graph CNN for Pedestrians Trajectory Prediction

MonoLoco++ and MonStereo for 3D localization, orientation, bounding box dimensions and social distancing from monocular and / or stereo images. PyTorch Official Implementation.

Pre-print version of "Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations"

Haar cascade for detecting vehicles and pedestrians in videos using Python

Yet Another attempt to build a traffic system in Unity.

The Arrogance of Space Mapping Tool

Матричное моделирование пассажиропотоков для оптимизации планировки здания.

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

This repository provides the implementation of our paper "Exploring the Potential of Synthetic Data for Pedestrian Analysis" delivered for the "Computer Vision and Cognitive System" course @Unimore

safety-data - react client

deployableFiles from the simulation