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

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DataCite Commons2025-01-30 更新2025-02-22 收录
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https://data.4tu.nl/datasets/c82c6bd7-f3d3-49e2-80d4-81025769f85b/1
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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
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4TU.ResearchData
创建时间:
2025-01-30
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