PRE2018 3 Group9: Difference between revisions

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===Initial robotic concepts===
===Initial Concepts===
After discussing various topics we came up with this final list of projects that seemed interesting to us.
After discussing various topics we came up with this final list of projects that seemed interesting to us.
*Drone interception
*Drone interception
Line 26: Line 26:
*A spider robot that can be used to get to hard to reach places
*A spider robot that can be used to get to hard to reach places


==Chosen project: drone interception==
==Chosen Project: Drone Interception==
===Problem statement===
===Problem Statement===
How drones can be used to intercept other drones in airborne situations.
How drones can be used to intercept other drones in airborne situations.


===Objectives===
===Objectives===


==Project organisation==
==Project Organisation==
===Approach===
===Approach===



Revision as of 15:32, 8 February 2019

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 drones can be used to intercept other drones 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:

  • Live image processing[3]
  • Radar based systems[4]
  • Ground based live image analysis [5]

References

  1. 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,
  2. Andrey Evgenievich Nazdratenko (2007) [Net throwing device]
  3. 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)
  4. P.F. Howland Target tracking using television-based bistatic radar (1999) IEE Proceedings - Radar, Sonar and Navigation Volume 146, Issue 3 p. 166 – 174
  5. 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)