Safe Drones

Version 1.2.0.0 (50.2 MB) by Koorosh Aslansefat
Reliability_Multirotor_Drones
0.0
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Updated 4 Aug 2023
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License: MIT Standard - \Python Style Guide

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SafeDrones

A Framework for Reliability/Safety Modelling and Evaluation of Multicopters (Multi-rotor Drones) and Electric powered Vertical TakeOff and Landing (eVTOL) Aircrafts.

Ehang, SafeDrones, Safety, reliability, Safe flight, arial vehicles, evtol

Markov Models

Markov Hexacopter PNPNPN Reliability

Figure 1. Markov Model of a hexacopter with PNPNPN configuration.

Markov_Hexacopter_PNPNPN_Simplified, AirTaxi, Flying Cars

Figure 2. Simplified Markov Model of a hexacopter with PNPNPN configuration.

Related Works

Shi, D., Yang, B., & Quan, Q. (2016, July). Reliability Analysis of Multicopter Configurations based on Controllability Theory, In IEEE 35th Chinese Control Conference.

Publication

Aslansefat, K., Marques, F., Mendonça, R., & Barata, J. (2019, May). A Markov Process-Based Approach for Reliability Evaluation of the Propulsion System in Multi-rotor Drones. In Doctoral Conference on Computing, Electrical and Industrial Systems (pp. 91-98). Springer, [Link][ResearchGate][PlumX Metrics][Presentation][PDF].

Aslansefat, K., Nikolaou, P., Walker, M., Akram, M. N., Sorokos, I., Reich, J., ... & Papadopoulos, Y. (2022, September). Safedrones: Real-time reliability evaluation of uavs using executable digital dependable identities. In Model-Based Safety and Assessment: 8th International Symposium, IMBSA 2022, Munich, Germany, September 5–7, 2022, Proceedings (pp. 252-266). Springer.

Collaborators

Dependable Intelligent Systems Lab., University of Hull

The KIOS Research and Innovation Centre of Excellence (KIOS CoE)

Fraunhofer Institute for Experimental Software Engineering

License

This framework is available under the MIT License.

Acknowledgement

The idea of the SafeDrone has been formed in Robotic and Industrial Complex Systems (RICS) research group at CTS UNINOVA, Portugal in 2018 and it will be extended via the Secure and Safe MultiRobot Systems (SESAME) H2020 Project under Grant Agreement 101017258 at the Dependable Intelligent Systems (DEIS) Laboratory, University of Hull, United Kingdom, the KIOS Research and Innovation Centre of Excellence (KIOS CoE) and Fraunhofer Institute for Experimental Software Engineering.

Dependable Intelligent Systems (DEIS) Lab. Projects

SafeML SafeNN SafeIoT HDFT
AI safety, machine learning safety, deep learning safety, SafeML, SafeAI, SafeDL Neural Network Safety Dependability reliability explainability interpretability, AI safety Internet of thing safety, IoT safety, SafeIoT, Safe IoT Dynamic Fault Tree

Cite As

Koorosh Aslansefat (2024). Safe Drones (https://github.com/Dependable-Intelligent-Systems-Lab/SafeDrones/releases/tag/1.2.0), GitHub. Retrieved .

Aslansefat, Koorosh, et al. “A Markov Process-Based Approach for Reliability Evaluation of the Propulsion System in Multi-Rotor Drones.” IFIP Advances in Information and Communication Technology, Springer International Publishing, 2019, pp. 91–98, doi:10.1007/978-3-030-17771-3_8.

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MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.2.0.0

See release notes for this release on GitHub: https://github.com/Dependable-Intelligent-Systems-Lab/SafeDrones/releases/tag/1.2.0
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.