YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

The Python Code Tutorials

YOLO ROS: Real-Time Object Detection for ROS

This is the main repository for the MakeHuman application as such.

[CVPR2022] Code for CVPR 2022 paper "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion"

The mpc_local_planner package implements a plugin to the base_local_planner of the 2D navigation stack. It provides a generic and versatile model predictive control implementation with minimum-time…

A customized grid map-based navigation simulation platform following the Gym API.

Keras implementation of a CNN network for age and gender estimation

solution of exercises of the book "probabilistic robotics"

A ros gazebo plugin for pedestrians （Raw depth social compliant navigation through GAIL) ICRA 2018

Social LSTM using PyTorch for Vehicle Data

Multi-modal ROS-based people detection and tracking framework for mobile robots developed within the context of the EU FP7 project SPENCER.

[ICCV] Social NCE: Contrastive Learning of Socially-aware Motion Representations

Collection of Papers in Trajectory Prediction categorised according to the high-level structure

[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018

A selection of state-of-the-art research materials on trajectory prediction

[ITS'21] Human Trajectory Forecasting in Crowds: A Deep Learning Perspective

Social LSTM implementation in PyTorch

Optimal Reciprocal Collision Avoidance, Python bindings

Python sample codes and textbook for robotics algorithms.

An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.

SocialGym 2: A lightweight benchmark and simulator for multi-robot social navigation using ROS and the OpenAI gym.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.