Detail publikace
EFFICIENT NEAREST NEIGHBOR SEARCHING IN RRTS
Gulina Irina, Matousek Radomil
Anglický název
EFFICIENT NEAREST NEIGHBOR SEARCHING IN RRTS
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
en
Originální abstrakt
The cost of nearest-neighbor calls is one of the bottlenecks in the performance of sampling-based motion planning algorithms and particularly Rapidly-exploring Random Trees (RRT) algorithm. Although RRT returns the solution relatively quickly, the computational cost of every new algorithm loop increases as the tree grows because of the nearest neighbor searching procedure. This paper suggests the enhancement of this function. Through a series of simulation experiments we evaluate and compare the performance of RRT-based algorithms and report on the results verifying the efficiency of the suggested nearest neighbor searching method.
Anglický abstrakt
The cost of nearest-neighbor calls is one of the bottlenecks in the performance of sampling-based motion planning algorithms and particularly Rapidly-exploring Random Trees (RRT) algorithm. Although RRT returns the solution relatively quickly, the computational cost of every new algorithm loop increases as the tree grows because of the nearest neighbor searching procedure. This paper suggests the enhancement of this function. Through a series of simulation experiments we evaluate and compare the performance of RRT-based algorithms and report on the results verifying the efficiency of the suggested nearest neighbor searching method.
Klíčová slova anglicky
sampling-based motion planning, Rapidly-exploring Random Tree, RRT, nearest-neighbor searching
Vydáno
08.06.2016
Místo
Brno
ISBN
978-80-214-5365-4
Kniha
MENDEL 2016 22nd Conference on Soft Computing
Strany od–do
189–194
Počet stran
6
BIBTEX
@inproceedings{BUT128283,
author="Irina {Gulina} and Radomil {Matoušek},
title="EFFICIENT NEAREST NEIGHBOR SEARCHING IN RRTS",
booktitle="MENDEL 2016 22nd Conference on Soft Computing",
year="2016",
month="June",
pages="189--194",
address="Brno",
isbn="978-80-214-5365-4"
}