PRE2018 3 Group9
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Preface
Group Members
| Name | Study | Student ID |
|---|---|---|
| Claudiu Ion | Software Science | 1035445 |
| Endi Selmanaj | Electrical Engineering | 1283642 |
| Martijn Verhoeven | Electrical Engineering | 1233597 |
| Leo van der Zalm | Mechanical Engineering | 1232931 |
Initial Concepts
After discussing various topics we came up with this final list of projects that seemed interesting to us.
- Drone interception
- A tunnel digging robot
- A fire fighting drone for finding people
- Delivery uav - (blood in Africa, parcels, medicine, etc.)
- Voice control robot - (general technique that has many applications)
- A spider robot that can be used to get to hard to reach places
Chosen Project: Drone Interception
Problem Statement
How UAV's can be used to intercept other UAV's in airborne situations.
Objectives
Project Organisation
Approach
Milestones, Deliverables and Planning
State of the Art (SotA)
In this section the State of the Art (or SotA) concerning our project will be discussed.
One way of catching a drone is by shooting at it with a net. Extensive research has been done on shooting nets, mainly for wildlife purposes [1][2]
In order to aim at a moving target from a moving drone, a way of tracking the target is needed. Multiple ways of doing this have been researched:
Research Articles, Patents and Relevant Sources
Apart from the various research papers on the topic of interceptor drones, there are also several patents and relevant articles for such systems.
- Patent for an interceptor drone tasked to the location of another tracked drone. This patent proposes a system which includes a LIDAR camera which provides detection and tracking of an intruder drone.[6]
- Patent for autonomous tracking and surveilance. This patent refers to a method of protecting an asset by imposing a security perimiter around it which is further divided in a number of zones protected by unmanned aerial vehicles.[7]
- Patent for detecting, tracking and estimating the speed of vehicles from a moving platform. This patent proposes an algorithm operated by the on-board computing system of an unmanned aerial vehicle that is used to detect and track vehicles moving on a roadway. The algorithm is configured to detect and track the vehicles despite motion created by movement of the UAV.[8]
- Patent for scanning environments and tracking unmanned aerial vehicles. This patent refers to systems and methods for scanning environments and tracking unmanned aerial vehicles within the scanned environments. It also provides a method for identifying points of interest in an image and generating a map of the region.[9]
- Patent for flight control using computer vision. This patent provides methods for computing a three-dimensional relative location of a target with respect to the reference aerial vehicle based on the image of the environment.[10]
There is also an existing company, in Delft, that is making drone intercepting drones called Delft Dynamics and they have built the DroneCatcher[11]
References
- ↑ STEPHEN L. WEBB, JOHN S. LEWIS, DAVID G. HEWITT, MICKEY W. HELLICKSON, FRED C. BRYANT Assessing the Helicopter and Net Gun as a Capture Technique for White‐Tailed Deer (2008) The Journal of Wildlife Management Volume 72, Issue 1,
- ↑ Andrey Evgenievich Nazdratenko (2007) [Net throwing device]
- ↑ A.J. Lipton, H.Fujiyoshi, R.S. Patil Moving target classification and tracking from real-time video (1998) Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201)
- ↑ P.F. Howland Target tracking using television-based bistatic radar (1999) IEE Proceedings - Radar, Sonar and Navigation Volume 146, Issue 3 p. 166 – 174
- ↑ M. Dreyer, S. Raj, S. Gururajan, J. Glowacki Detecting, Tracking, and Localizing a Moving Quadcopter Using Two External Cameras (2018) 2018 Flight Testing Conference, AIAA AVIATION Forum, (AIAA 2018-4281)
- ↑ Brian R. Van Voorst (2017). Intercept drone tasked to location of lidar tracked drone U.S. Patent No. US20170261604A1. Washington, DC: U.S. Patent and Trademark Office
- ↑ Kristen L. Kokkeby Robert P. Lutter Michael L. Munoz Frederick W. Cathey David J. Hilliard Trevor L. Olson (2008). System and methods for autonomous tracking and surveillance U.S. Patent No. US20100042269A1. Washington, DC: U.S. Patent and Trademark Office
- ↑ Eric Saund Christopher. Paulson Gregory. Burton Eric Peeters. (2014). System and method for detecting, tracking and estimating the speed of vehicles from a mobile platform U.S. Patent No. US20140336848A1. Washington, DC: U.S. Patent and Trademark Office
- ↑ Asa Hammond Nathan. Schuett Naimisaranya Das Busek. (2016). Scanning environments and tracking unmanned aerial vehicles U.S. Patent No. US20160292872A1. Washington, DC: U.S. Patent and Trademark Office
- ↑ Guy Bar-Nahum. Hong-Bin Yoon. Karthik Govindaswamy. Hoang Anh Nguyen. (2018). Flight control using computer vision U.S. Patent No. US20190025858A1. Washington, DC: U.S. Patent and Trademark Office
- ↑ Delft Dynamics [1]