Data underlying the project: Cooperation of Autonomous Vehicles in Mixed Traffic (SCoop)

This data includes technical notes and results from my work at TU Delft.<br>I have attached a zipped folder "projects" which includes all the different projects/publications I worked on:<br>COLREGs-aware Trajectory Optimization for Autonomous Surface VesselsModel Predictive Trajectory Optimization for Autonomous Vessels Considering Traffic RulesActive Thruster Fault Diagnosis for an Overactuated Autonomous Surface VesselSet-Membership Estimation for Fault Diagnosis of Nonlinear Systems<br>For each project/publication, the folder includes the content of the work (text, notes, figures, plots, etc.). These publications align with the goal of our project (SCoop): The goal of the SCoop project is to design a cooperation framework to allow autonomous vehicles to safely navigate in mixed traffic even in the presence of faults. The results are generated from simulation experiments using ROS (Robot Operating System) and were collected in .rosbag files (to be further processed and generate plots).<br>The code that generated the data is available on Github: https://github.com/ttsolakis

本数据集收录了我在代尔夫特理工大学（TU Delft）开展研究工作期间生成的技术笔记与实验结果。
我附带了一个名为"projects"的压缩文件夹，其中包含我参与的全部相关项目与研究成果：
1. 面向自主水面舰艇的COLREGs合规轨迹优化（COLREGs-aware Trajectory Optimization for Autonomous Surface Vessels）
2. 考虑交通规则的自主舰艇模型预测轨迹优化（Model Predictive Trajectory Optimization for Autonomous Vessels Considering Traffic Rules）
3. 过驱动自主水面舰艇的主动推进器故障诊断（Active Thruster Fault Diagnosis for an Overactuated Autonomous Surface Vessel）
4. 非线性系统故障诊断的集合成员估计（Set-Membership Estimation for Fault Diagnosis of Nonlinear Systems）

针对每个项目或研究成果，文件夹内均存储对应工作的完整内容，涵盖文本、笔记、图表、绘图数据等。本批成果均契合SCoop项目的研究目标：SCoop项目旨在构建一套协作框架，使自主车辆即便在存在故障的场景下，也能安全地在混合交通环境中完成导航。
相关实验结果均通过ROS（机器人操作系统，Robot Operating System）仿真实验生成，并存储于.rosbag格式文件中，可后续进一步处理以生成可视化图表。
生成本数据集的代码已托管至GitHub平台，链接为：https://github.com/ttsolakis