Parking lot occupancy detection using computational fluid dynamics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088426" target="_blank" >RIV/61989100:27240/13:86088426 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-00969-8_72" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-00969-8_72</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-00969-8_72" target="_blank" >10.1007/978-3-319-00969-8_72</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Parking lot occupancy detection using computational fluid dynamics

Popis výsledku v původním jazyce

In this paper, we present an algorithm for estimating the occupancy of individual parking spaces. Our method is based on a computer analysis of images obtained by a camera system monitoring the activities on a parking lot. The main idea is to use the a~priori available information about the parking lot geometry and the general shape of common cars to obtain a reliable status of a parking space. We strive to avoid the training phase as much as possible to reduce the time required to bring the system intofully operational state. To achieve this goal, we focus on a probabilistic car model and a physically based feature extraction using computational fluid dynamics. Despite the fact that the very first system of such kind has appeared more than forty years earlier, this area is still an active research topic and a completely satisfactory solution has not been found yet.

Název v anglickém jazyce

Parking lot occupancy detection using computational fluid dynamics

Popis výsledku anglicky

In this paper, we present an algorithm for estimating the occupancy of individual parking spaces. Our method is based on a computer analysis of images obtained by a camera system monitoring the activities on a parking lot. The main idea is to use the a~priori available information about the parking lot geometry and the general shape of common cars to obtain a reliable status of a parking space. We strive to avoid the training phase as much as possible to reduce the time required to bring the system intofully operational state. To achieve this goal, we focus on a probabilistic car model and a physically based feature extraction using computational fluid dynamics. Despite the fact that the very first system of such kind has appeared more than forty years earlier, this area is still an active research topic and a completely satisfactory solution has not been found yet.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013

ISSN

2194-5357

e-ISSN

—

Svazek periodika

226

Číslo periodika v rámci svazku

2013

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

10

Strana od-do

733-742

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—