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Visibility problems for sensor netwo...

Obermeyer, Karl J.

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Visibility problems for sensor networks and unmanned air vehicles.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Visibility problems for sensor networks and unmanned air vehicles./
Author:	Obermeyer, Karl J.
Description:	213 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-10, Section: B, page: 6395.
Contained By:	Dissertation Abstracts International71-10B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3422490
ISBN:	9781124218106

Visibility problems for sensor networks and unmanned air vehicles.
Obermeyer, Karl J.

Visibility problems for sensor networks and unmanned air vehicles. - 213 p.

Source: Dissertation Abstracts International, Volume: 71-10, Section: B, page: 6395.

Thesis (Ph.D.)--University of California, Santa Barbara, 2010.

This dissertation presents novel motion coordination, planning, and control algorithms to solve visibility problems for mobile sensor networks and UAVs (Unmanned Air Vehicles). These are problems where an autonomous system must move in such a way that it achieves or maintains line of sight of some object(s) of interest in a nonconvex environment. More specifically, we address variations of the following three problems: (1) How should a group of camera-equipped robotic agents deploy into an environment in order to achieve full visibility of that environment, (2) how can the rotations of security cameras be coordinated to ensure an intruder is caught on video, and (3) what path should a UAV follow in order to photograph a set of suspicious vehicles in a city as quickly as possible? We find answers to these questions using a unique blend of tools from the research domains of computational geometry, combinatorics, robot motion planning, and control theory.

ISBN: 9781124218106Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Visibility problems for sensor networks and unmanned air vehicles.
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100 1 $a Obermeyer, Karl J. $3 1684500
245 1 0 $a Visibility problems for sensor networks and unmanned air vehicles.
300 $a 213 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-10, Section: B, page: 6395.
500 $a Adviser: Francesco Bullo.
502 $a Thesis (Ph.D.)--University of California, Santa Barbara, 2010.
520 $a This dissertation presents novel motion coordination, planning, and control algorithms to solve visibility problems for mobile sensor networks and UAVs (Unmanned Air Vehicles). These are problems where an autonomous system must move in such a way that it achieves or maintains line of sight of some object(s) of interest in a nonconvex environment. More specifically, we address variations of the following three problems: (1) How should a group of camera-equipped robotic agents deploy into an environment in order to achieve full visibility of that environment, (2) how can the rotations of security cameras be coordinated to ensure an intruder is caught on video, and (3) what path should a UAV follow in order to photograph a set of suspicious vehicles in a city as quickly as possible? We find answers to these questions using a unique blend of tools from the research domains of computational geometry, combinatorics, robot motion planning, and control theory.
590 $a School code: 0035.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Mechanical. $3 783786
650 4 $a Engineering, Robotics. $3 1018454
650 4 $a Computer Science. $3 626642
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773 0 $t Dissertation Abstracts International $g 71-10B.
790 1 0 $a Bullo, Francesco, $e advisor
790 1 0 $a Bamieh, Bassam $e committee member
790 1 0 $a Moehlis, Jeff $e committee member
790 1 0 $a Hespanha, Joao P. $e committee member
790 1 0 $a Suri, Subhash $e committee member
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791 $a Ph.D.
792 $a 2010
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