PRE2024 1 Group2: Difference between revisions
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== '''Planning''' == | == '''Planning''' == | ||
Within | Within we upcoming 8 weeks we will be working on this project. Below are the projects tasks layed out over these 8 weeks and when they will be performed. | ||
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== '''Literary Research''' == | == '''Literary Research''' == | ||
<u>'''Autonomous Weapons Systems and International Humanitarian Law: Need for Expansion or Not'''</u><ref>Willy, Enock, Autonomous Weapons Systems and International Humanitarian Law: Need for Expansion or Not (NOVEMBER 16, 2020). Available at SSRN: https://ssrn.com/abstract=3867978 or http://dx.doi.org/10.2139/ssrn.3867978</ref> | <u>'''Autonomous Weapons Systems and International Humanitarian Law: Need for Expansion or Not'''</u><ref>Willy, Enock, Autonomous Weapons Systems and International Humanitarian Law: Need for Expansion or Not (NOVEMBER 16, 2020). Available at SSRN: https://ssrn.com/abstract=3867978 or http://dx.doi.org/10.2139/ssrn.3867978</ref> | ||
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This patent describes a drone defense system comprising at least one jammer and at least one radio detector. The system is designed to send out interference signals that block a drone's communication or GPS signals, causing it to land or return. It also uses a technique where the jammer temporarily interrupts the interference signal to allow the radio detector to receive data and locate the drone's position or intercept its control signals. | This patent describes a drone defense system comprising at least one jammer and at least one radio detector. The system is designed to send out interference signals that block a drone's communication or GPS signals, causing it to land or return. It also uses a technique where the jammer temporarily interrupts the interference signal to allow the radio detector to receive data and locate the drone's position or intercept its control signals. | ||
'''<u>Small Unmanned Aerial Systems (sUAS) and the Force Protection Threat to DoD</u>'''<ref>Small Unmanned Aerial Systems (sUAS) and the Force Protection Threat to DoD - RMC (rmcglobal.com)</ref> | |||
This article discusses the increasing threat posed by small unmanned aerial systems (sUAS) to military forces, particularly the U.S. Department of Defense (DoD). It highlights how enemies are using these drones for surveillance and delivery of explosives. | |||
'''<u>The Rise of Radar-Based UAV Detection For Military: A Game-Changer in Modern Warfare</u>'''<ref>The Rise of Radar-Based UAV Detection For Military: A Game-Changer in Modern Warfare | Spotter Global</ref> | |||
This article discusses how radar-based unmanned aerial vehicle (UAV) detection is transforming military operations. SpotterRF’s systems use advanced radar technology to detect drones in all conditions, including darkness or bad weather. By integrating AI, these systems can distinguish between drones and non-threats like birds, improving accuracy and reducing false positives. | |||
'''<u>Swarm-based counter UAV defense system</u>'''<ref>Swarm-based counter UAV defense system | Discover Internet of Things (springer.com)</ref> | |||
This article discusses autonomous systems designed to detect and intercept drones. It emphasizes the use of AI and machine learning to improve the real-time detection, classification, and interception of drones, focusing on autonomous UAVs (dUAVs) that can neutralize threats. The research delves into algorithms and swarm-based defense strategies that optimize how drones are intercepted. | |||
'''<u>Small Drone Threat Grows More Complex, Deadly as Tech Advances</u>'''<ref>Small Drone Threat Grows More Complex, Deadly as Tech Advances (nationaldefensemagazine.org)</ref> | |||
The article highlights the growing threat of small UAV to military operations. It discusses how these systems are used by enemies for surveillance and direct attacks, and the various countermeasures the U.S. Department of Defense is developing to stop these attacks. It eplores the use of jamming (interference of connection between drone and controller), radio frequency sensing, and mobile detection systems. | |||
'''<u>US Army invents 40mm grenade that nets bad drones</u>'''<ref>US Army invents 40mm grenade that nets bad drones - TechLink | TechLink (techlinkcenter.org)</ref> | |||
This article discusses recently developed technology that involves a 40mm grenade that deploys a net to capture and neutralise hostile drones. This system can be fired from a standard grenade launcher, providing a portable, low-cost method of taking down small unmanned aerial systems (sUAS) without causing significant collateral damage. | |||
== '''Logbook''' == | == '''Logbook''' == |
Revision as of 14:16, 8 September 2024
Group Members
Name | Student ID | Department |
---|---|---|
Max van Aken | 1859455 | Applied Physics |
Robert Arnhold | 1847848 | Mechanical Engineering |
Tim Damen | 1874810 | Applied Physics |
Ruben Otter | 1810243 | Computer Science |
Raul Sanchez Flores | 1844512 | Computer Science / Applied Mathematics |
Problem Statement
The goal of this project is to create an easily portable system that can be used as the last line of defense against incoming projectiles.
Objectives
To come up with a solution for our problem we have the following objectives in mind:
- Determine how drones and projectiles can be detected.
- Determine how a drone or projectile can be intercepted and/or redirected.
- Build a prototype of this portable device.
- Build a simulation of the usage of this system.
- Explore and determine ethical implications of the portable device.
- Prove the system’s utility.
Planning
Within we upcoming 8 weeks we will be working on this project. Below are the projects tasks layed out over these 8 weeks and when they will be performed.
Week | Task |
---|---|
1 | Initial planning and setting up the project. |
2 | Literary research. |
3 | Create ethical framework. |
Conduct an interview with an expert to confirm and construct the use cases. | |
Start constructing prototype, software and simulation concepts. | |
Determine potential problems. | |
4 | Continue constructing prototype, software and simulation. |
5 | Finish prototype, software and simulation. |
6 | Testing prototype to verify its effectiveness and use cases. |
Evaluate testing results and make final changes. | |
7 | Finish Wiki page. |
8 | Create final presentation. |
Users and their Requirements
We currently have two main usages for this project in mind, which are the following:
- Military forces facing threats from drones and projectiles.
- Privately-managed critical infrastructure in areas at risk of drone-based attacks.
The users of the system will require the following:
- Minimal maintenance
- High reliability
- System should not pose additional threat to surrounding
- System must be personally portable
- System should work reliably in dynamic, often extreme, environments
- System should be scalable and interoperable in concept
Literary Research
Autonomous Weapons Systems and International Humanitarian Law: Need for Expansion or Not[1]
A significant challenge with autonomous systems is ensuring compliance with international laws, particularly IHL. The paper delves into how such systems can be designed to adhere to humanitarian law and discusses critical and optional features such as the capacity to identify combatants and non-combatants effectively. This is directly relevant to ensuring our system's utility in operational contexts while adhering to ethical norms.
Artificial Intelligence Applied to Drone Control: A State of the Art[2]
This paper explores the integration of AI in drone systems, focusing on enhancing autonomous behaviors such as navigation, decision-making, and failure prediction. AI techniques like deep learning and reinforcement learning are used to optimize trajectory, improve real-time decision-making, and boost the efficiency of autonomous drones in dynamic environments.
Drone Detection and Defense Systems: Survey and Solutions[3]
This paper provides a comprehensive survey of existing drone detection and defense systems, exploring various sensor modalities like radio frequency (RF), radar, and optical methods. The authors propose a solution called DronEnd, which integrates detection, localization, and annihilation functions using Software-Defined Radio (SDR) platforms. The system highlights real-time identification and jamming capabilities, critical for intercepting drones with minimal collateral effects.
Advances and Challenges in Drone Detection and Classification[4]
This state-of-the-art review highlights the latest advancements in drone detection techniques, covering RF analysis, radar, acoustic, and vision-based systems. It emphasizes the importance of sensor fusion to improve detection accuracy and effectiveness.
Autonomous Defense System with Drone Jamming capabilities[5]
This patent describes a drone defense system comprising at least one jammer and at least one radio detector. The system is designed to send out interference signals that block a drone's communication or GPS signals, causing it to land or return. It also uses a technique where the jammer temporarily interrupts the interference signal to allow the radio detector to receive data and locate the drone's position or intercept its control signals.
Small Unmanned Aerial Systems (sUAS) and the Force Protection Threat to DoD[6]
This article discusses the increasing threat posed by small unmanned aerial systems (sUAS) to military forces, particularly the U.S. Department of Defense (DoD). It highlights how enemies are using these drones for surveillance and delivery of explosives.
The Rise of Radar-Based UAV Detection For Military: A Game-Changer in Modern Warfare[7]
This article discusses how radar-based unmanned aerial vehicle (UAV) detection is transforming military operations. SpotterRF’s systems use advanced radar technology to detect drones in all conditions, including darkness or bad weather. By integrating AI, these systems can distinguish between drones and non-threats like birds, improving accuracy and reducing false positives.
Swarm-based counter UAV defense system[8]
This article discusses autonomous systems designed to detect and intercept drones. It emphasizes the use of AI and machine learning to improve the real-time detection, classification, and interception of drones, focusing on autonomous UAVs (dUAVs) that can neutralize threats. The research delves into algorithms and swarm-based defense strategies that optimize how drones are intercepted.
Small Drone Threat Grows More Complex, Deadly as Tech Advances[9]
The article highlights the growing threat of small UAV to military operations. It discusses how these systems are used by enemies for surveillance and direct attacks, and the various countermeasures the U.S. Department of Defense is developing to stop these attacks. It eplores the use of jamming (interference of connection between drone and controller), radio frequency sensing, and mobile detection systems.
US Army invents 40mm grenade that nets bad drones[10]
This article discusses recently developed technology that involves a 40mm grenade that deploys a net to capture and neutralise hostile drones. This system can be fired from a standard grenade launcher, providing a portable, low-cost method of taking down small unmanned aerial systems (sUAS) without causing significant collateral damage.
Logbook
Name | Total | Break-down |
---|---|---|
Max van Aken | Attended lecture (2h), Attended meeting with group (2h) | |
Robert Arnhold | Attended lecture (2h), Attended meeting with group (2h) | |
Tim Damen | Attended lecture (2h), Attended meeting with group (2h) | |
Ruben Otter | 17 h | Attended lecture (2h), Attended meeting with group (2h), Analysed papers/patents [1], [2], [3], [4], [5] (10h), Summarized and described key takeaways for papers/patents [1], [2], [3], [4], [5] (2h), Set up Wiki page (1h) |
Raul Sanchez Flores | Attended lecture (2h), Attended meeting with group (2h) |
References
- ↑ Willy, Enock, Autonomous Weapons Systems and International Humanitarian Law: Need for Expansion or Not (NOVEMBER 16, 2020). Available at SSRN: https://ssrn.com/abstract=3867978 or http://dx.doi.org/10.2139/ssrn.3867978
- ↑ Caballero-Martin D, Lopez-Guede JM, Estevez J, Graña M. Artificial Intelligence Applied to Drone Control: A State of the Art. Drones. 2024; 8(7):296. https://doi.org/10.3390/drones8070296
- ↑ Chiper F-L, Martian A, Vladeanu C, Marghescu I, Craciunescu R, Fratu O. Drone Detection and Defense Systems: Survey and a Software-Defined Radio-Based Solution. Sensors. 2022; 22(4):1453. https://doi.org/10.3390/s22041453
- ↑ Seidaliyeva U, Ilipbayeva L, Taissariyeva K, Smailov N, Matson ET. Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review. Sensors. 2024; 24(1):125. https://doi.org/10.3390/s24010125
- ↑ Chmielus, T. (2024). Drone defense system (U.S. Patent No. 11,876,611). United States Patent and Trademark Office. https://patentsgazette.uspto.gov/week03/OG/html/1518-3/US11876611-20240116.html
- ↑ Small Unmanned Aerial Systems (sUAS) and the Force Protection Threat to DoD - RMC (rmcglobal.com)
- ↑ The Rise of Radar-Based UAV Detection For Military: A Game-Changer in Modern Warfare | Spotter Global
- ↑ Swarm-based counter UAV defense system | Discover Internet of Things (springer.com)
- ↑ Small Drone Threat Grows More Complex, Deadly as Tech Advances (nationaldefensemagazine.org)
- ↑ US Army invents 40mm grenade that nets bad drones - TechLink | TechLink (techlinkcenter.org)