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Collection of reinforcement learning 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 …
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…
"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…
On The Way (OTW) environment for autonomous vehicles to demonstrate the local planning/decision-making algorithms
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
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…
Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making
Using LSTM to predict the path of the driverless vehicle
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.
A Unified Framework for scalable Vehicle Trajectory Prediction, ECCV 2024
Vehicle Trajectory Prediction with Deep Learning Models
Implementation of Recurrent Neural Networks for future trajectory prediction of pedestrians.
PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction
[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"
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…
The dataset for drone based detection and tracking is released, including both image/video, and annotations.
Generate expert demonstrations; GAIL(Generative Adversarial Imitation Learning); IRL(Inverse Reinforcement Learning)
[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
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Top-view trajectory data of pedestrians in crowd under vehicle influence in everyday campus scenarios
Top-view trajectory data of pedestrians in groups under vehicle influence in controlled experiments
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.