Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 687529

A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network


Ferrari, Silvia; Fierro, Rafael; Tolić, Domagoj
A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network // Proc. of 48th IEEE Conference on Decision and Control
Šangaj, Kina, 2009. str. 1080-1087 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 687529 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network

Autori
Ferrari, Silvia ; Fierro, Rafael ; Tolić, Domagoj

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proc. of 48th IEEE Conference on Decision and Control / - , 2009, 1080-1087

Skup
48th IEEE Conference on Decision and Control

Mjesto i datum
Šangaj, Kina, 15.12.2009. - 18.12.2009

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
heterogeneous sensor networks; geometric optimization; target tracking

Sažetak
A methodology is developed to deploy a mobile sensor network for the purpose of detecting and capturing mobile targets in the plane. The mobile sensor network consists of a set of heterogeneous robotic sensors modeled as hybrid systems with individual processing capabilities. The targets are modeled by a Markov motion process that is commonly used in target tracking applications. Since the sensors are installed on mobile robots and have limited range, the geometry of their platforms and fields-of-view play a critical role in motion planning and obstacle avoidance. The methodology presented in this paper uses line transversals and cell decomposition in order to compute sensing and pursuit strategies that maximize the probability of detection, while minimizing energy consumption. The approach is demonstrated through progressive simulation scenarios involving multiple sensors installed on UGVs and UAVs, that are characterized by different sensing and motion capabilities, but are deployed to cooperatively detect, track, and pursue the same set of maneuvering targets.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Profili:

Avatar Url Domagoj Tolić (autor)

Citiraj ovu publikaciju:

Ferrari, Silvia; Fierro, Rafael; Tolić, Domagoj
A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network // Proc. of 48th IEEE Conference on Decision and Control
Šangaj, Kina, 2009. str. 1080-1087 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Ferrari, S., Fierro, R. & Tolić, D. (2009) A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network. U: Proc. of 48th IEEE Conference on Decision and Control.
@article{article, author = {Ferrari, Silvia and Fierro, Rafael and Toli\'{c}, Domagoj}, year = {2009}, pages = {1080-1087}, keywords = {heterogeneous sensor networks, geometric optimization, target tracking}, title = {A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network}, keyword = {heterogeneous sensor networks, geometric optimization, target tracking}, publisherplace = {\v{S}angaj, Kina} }
@article{article, author = {Ferrari, Silvia and Fierro, Rafael and Toli\'{c}, Domagoj}, year = {2009}, pages = {1080-1087}, keywords = {heterogeneous sensor networks, geometric optimization, target tracking}, title = {A geometric optimization approach to tracking maneuvering targets using a heterogeneous mobile sensor network}, keyword = {heterogeneous sensor networks, geometric optimization, target tracking}, publisherplace = {\v{S}angaj, Kina} }




Contrast
Increase Font
Decrease Font
Dyslexic Font