Registration of lines in 2D LIDAR scans via functions of angles

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10238533" target="_blank" >RIV/61989100:27240/18:10238533 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0952197617302312" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0952197617302312</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.engappai.2017.09.017" target="_blank" >10.1016/j.engappai.2017.09.017</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Registration of lines in 2D LIDAR scans via functions of angles

Popis výsledku v původním jazyce

A novel algorithm for registration of 2D LIDAR scans that combines two already known but different concepts has been proposed. The algorithm combines the registration of lines and the registration in polar coordinates. The main idea is a new representation of the surrounding area that makes the mentioned combination possible. The algorithm works with line segments in polar coordinates that are expressed as functions of angles. This representation significantly decreases the computation time and enhances the resulting alignment. The presented algorithm was designed for indoor environments that are rich in objects that can be represented by line segments. The algorithm has been tested with many indoor LIDAR scans and is able to align them with high accuracy and in real-time. (C) 2017 Elsevier Ltd

Název v anglickém jazyce

Registration of lines in 2D LIDAR scans via functions of angles

Popis výsledku anglicky

A novel algorithm for registration of 2D LIDAR scans that combines two already known but different concepts has been proposed. The algorithm combines the registration of lines and the registration in polar coordinates. The main idea is a new representation of the surrounding area that makes the mentioned combination possible. The algorithm works with line segments in polar coordinates that are expressed as functions of angles. This representation significantly decreases the computation time and enhances the resulting alignment. The presented algorithm was designed for indoor environments that are rich in objects that can be represented by line segments. The algorithm has been tested with many indoor LIDAR scans and is able to align them with high accuracy and in real-time. (C) 2017 Elsevier Ltd

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Engineering Applications of Artificial Intelligence

ISSN

0952-1976

e-ISSN

—

Svazek periodika

67

Číslo periodika v rámci svazku

January 2018

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

7

Strana od-do

436-442

Kód UT WoS článku

000417656900036

EID výsledku v databázi Scopus

2-s2.0-85033566074