Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
Pedestrian simulator powered by the social force model
Simple model to Track and Re-identify individuals in different cameras/videos.(Yolov3 & Yolov4)
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
Real-time Traffic and Pedestrian Counting (YOLOV3 in tensorflow2)
A crowd simulation and visualization demo implemented in Unity using Dijkstra Distance Field and simplified version of the Optimal Steps Model.
#大语言模型#A Python library extending SUMO for the simulation of interaction between automated vehicles and pedestrians.
pedestrian detection in hazy weather
Code for: "Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs", ICCV2021 Workshops
The Safer Streets Priority Finder enables you to analyze the risk to bicyclists and pedestrians on your community’s roads.
A vehicle-pedestrian interaction framework for simulation.
NeurIPS 2024 | 🏃♂️ SMPL Visual Annotation Tool
Analysis of pedestrian dynamics based on trajectory files.
People Live Tracking using YOLOv2 in MATLAB
A map of pedestrian traffic light timings, using crowdsourced data
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions
Driver assistant - GTU Undergraduate Project II - 2016