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Collection of reinforcement learning algorithms

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"

A Unified Framework for scalable Vehicle Trajectory Prediction, ECCV 2024

[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction

Vehicle Trajectory Prediction with Deep Learning Models

Modification of the paper "Social LSTM: Human Trajectory Prediction in Crowded Space" with the insertion of a new way to take into account social information and the consideration of the pedestrian…

Using LSTM to predict the path of the driverless vehicle

Top-view trajectory data of pedestrians in crowd under vehicle influence in everyday campus scenarios

In this repository, one can find the code for my master's thesis project. The main goal of the project was to study and improve attention mechanisms for trajectory prediction of moving agents.

Implementation of Recurrent Neural Networks for future trajectory prediction of pedestrians.

时空数据的轨迹预测

Top-view trajectory data of pedestrians in groups under vehicle influence in controlled experiments

Adversarial Inverse Reinforcement Learning Implement For Mountain Car

Generate expert demonstrations; GAIL(Generative Adversarial Imitation Learning); IRL(Inverse Reinforcement Learning)

An end-to-end (E2E) reinforcement learning model for autonomous vehicle collision avoidance in the CARLA simulator, using a recurrent PPO algorithm for dynamic control. The model processes RGB came…

This python package contains scripts needed to train IRL Driver models on HighD datasets. This code is accompanying the paper "Validating human driver models for interaction-aware automated vehicle…

Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making

A bachelor thesis project about autonomous car maneuver around roundabout using RL-DQN

Implement reinforcement learning algorithms to realize highway decision making of autonomous vehicles

This code accompanies the paper titled "Human injury-based safety decision of automated vehicles". Author: Qingfan Wang, Qing Zhou, Miao Lin, Bingbing Nie. Corresponding author: Bingbing Nie (nbb@t…

Implementing nash equilibrium for an autonomous vehicle to make a decision given a payoff matrix. Given an intersection crossing scenario, one car must decide whether to stop or go depending on dif…

[TIV, 2022] Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach

"Bi-Cycle Detection using Machine Learning for Situation Awareness." The project focuses on developing a comprehensive system to detect bicycles and vehicles using Machine Learning and Computer Vi…

I utilize Python to developed driverless car project. These project involve leveraging advanced algorithms and machine learning techniques to create autonomous vehicles capable of navigating and ma…

On The Way (OTW) environment for autonomous vehicles to demonstrate the local planning/decision-making algorithms

Welcome to the TrustworthyAutonomousTwin repository! This project aims to develop a digital twin for trustworthy autonomous vehicles (AVs). Our goal is to create a robust and ethical framework for …