Dynamic Modeling and Vision-Based Mobile-Target Tracking in UAVs Using Wide FOV Cameras

Dynamic Modeling and Vision-Based Mobile-Target Tracking in UAVs Using Wide FOV Cameras
Author :
Publisher :
Total Pages : 0
Release :
ISBN-10 : OCLC:1339100474
ISBN-13 :
Rating : 4/5 (74 Downloads)

Book Synopsis Dynamic Modeling and Vision-Based Mobile-Target Tracking in UAVs Using Wide FOV Cameras by : Mohsen Majnoon

Download or read book Dynamic Modeling and Vision-Based Mobile-Target Tracking in UAVs Using Wide FOV Cameras written by Mohsen Majnoon and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control of unmanned aerial vehicles is a very active topic in research with lots of applications ranging from civilian to military. To control a UAV, its attitude is often controlled using gyroscopes, but to control its position, inertial sensors together with GPS are often used. However, obtaining accurate current position is difficult using inertial sensors because of the integration drift. GPS on the other hand is not functional in indoor applications since it cannot connect to GPS satellites. Since vision has been proved to be an inexpensive and consistent source of relative position information, vision-based control is getting more popular in UAVs recently, but then again, using vision in outdoor applications is challenging as the target can move fast and out of the vision sensor field of view. So, in order to keep the target inside the field of view, two algorithms are being developed and tested via simulation in this research. Using pan/tilt/zoom cameras or multi camera systems, the target is guaranteed to stay in vision system field of view and hence, the vision based pose estimation can provide the control system with proper relative position. Two case studies - vision-based mobile-target tracking of a quadrotor using a multi-camera vision sensor and vision-based mobile-target tracking of a tilting rotor aircraft equipped with a zooming camera - are presented in this research to show the applicability of these methods in UAV control.


Dynamic Modeling and Vision-Based Mobile-Target Tracking in UAVs Using Wide FOV Cameras Related Books

Dynamic Modeling and Vision-Based Mobile-Target Tracking in UAVs Using Wide FOV Cameras
Language: en
Pages: 0
Authors: Mohsen Majnoon
Categories:
Type: BOOK - Published: 2016 - Publisher:

DOWNLOAD EBOOK

Control of unmanned aerial vehicles is a very active topic in research with lots of applications ranging from civilian to military. To control a UAV, its attitu
Optimal Control and Coordination of Small UAVs for Vision-based Target Tracking
Language: en
Pages: 215
Authors: Steven Andrew Provencio Quintero
Categories:
Type: BOOK - Published: 2014 - Publisher:

DOWNLOAD EBOOK

Small unmanned aerial vehicles (UAVs) are relatively inexpensive mobile sensing platforms capable of reliably and autonomously performing numerous tasks, includ
On Autonomous Target Tracking for UAVs
Language: en
Pages: 150
Authors: Panagiotis Theodorakopoulos
Categories:
Type: BOOK - Published: 2009 - Publisher:

DOWNLOAD EBOOK

Most applications of Unmanned Aerial Vehicles are related to events that occur on the ground. In particular, ground target tracking, be the target static, slowl
Particle Filter-based Architecture for Video Target Tracking and Geo-location Using Multiple UAVs
Language: en
Pages:
Authors: Christopher Sconyers
Categories: Drone aircraft
Type: BOOK - Published: 2013 - Publisher:

DOWNLOAD EBOOK

Research in the areas of target detection, tracking, and geo-location is most important for enabling an unmanned aerial vehicle (UAV) platform to autonomously e
Video Stabilization and Target Localization Using Feature Tracking with Small UAV Video
Language: en
Pages: 98
Authors: David Linn Johansen
Categories: Electronic dissertations
Type: BOOK - Published: 2006 - Publisher:

DOWNLOAD EBOOK

Unmanned Aerial Vehicles (UAVs) equipped with lightweight, inexpensive cameras have grown in popularity by enabling new uses of UAV technology. However, the vid