PATH PLANNING METHOD AND SYSTEM FOR UNMANNED SURFACE VEHICLE BASED ON IMPROVED GENETIC ALGORITHM

The present invention discloses a path planning method and system for an unmanned surface vehicle based on an improved genetic algorithm, which perform path planning on the unmanned surface vehicle by means of the improved genetic algorithm. The method comprises the following steps: acquiring course...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: ZHANG Yongbo, YANG Fengru, XIN Junfeng, LI Shixin, LI Penghao
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator ZHANG Yongbo
YANG Fengru
XIN Junfeng
LI Shixin
LI Penghao
description The present invention discloses a path planning method and system for an unmanned surface vehicle based on an improved genetic algorithm, which perform path planning on the unmanned surface vehicle by means of the improved genetic algorithm. The method comprises the following steps: acquiring course data and location data of the unmanned surface vehicle, and preprocessing same: collecting wave information of an environment where the unmanned surface vehicle is located, and converting same into constraint factors; performing path planning by using the improved genetic algorithm according to the course data and location data of the unmanned surface vehicle, to obtain an optimal path ranking; and correcting, based on the optimal path ranking, the course and speed of the unmanned surface vehicle according to the constraint factors, to complete the path planning.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_LU102400A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>LU102400A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_LU102400A13</originalsourceid><addsrcrecordid>eNqFikEKwjAQRbtxIeoZnAsIrXqBMZ0mgWQS0qTgqhaJK9FCvT9m4d7V-7z_1tXNY1TgDTJrlmApKtcCcgv9tY9koXMBEtvyU3EpdCgIBlJaGIIL9sU6Bm19cEPZkpiiFoBGuqCjsttq9ZieS979uKn2HUWhDnl-j3mZp3t-5c9oUlMfz3WNzel_8QWamzJe</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>PATH PLANNING METHOD AND SYSTEM FOR UNMANNED SURFACE VEHICLE BASED ON IMPROVED GENETIC ALGORITHM</title><source>esp@cenet</source><creator>ZHANG Yongbo ; YANG Fengru ; XIN Junfeng ; LI Shixin ; LI Penghao</creator><creatorcontrib>ZHANG Yongbo ; YANG Fengru ; XIN Junfeng ; LI Shixin ; LI Penghao</creatorcontrib><description>The present invention discloses a path planning method and system for an unmanned surface vehicle based on an improved genetic algorithm, which perform path planning on the unmanned surface vehicle by means of the improved genetic algorithm. The method comprises the following steps: acquiring course data and location data of the unmanned surface vehicle, and preprocessing same: collecting wave information of an environment where the unmanned surface vehicle is located, and converting same into constraint factors; performing path planning by using the improved genetic algorithm according to the course data and location data of the unmanned surface vehicle, to obtain an optimal path ranking; and correcting, based on the optimal path ranking, the course and speed of the unmanned surface vehicle according to the constraint factors, to complete the path planning.</description><language>eng</language><subject>CONTROL OR REGULATING SYSTEMS IN GENERAL ; CONTROLLING ; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS ; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS ; PHYSICS ; REGULATING ; SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20210209&amp;DB=EPODOC&amp;CC=LU&amp;NR=102400A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76418</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20210209&amp;DB=EPODOC&amp;CC=LU&amp;NR=102400A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG Yongbo</creatorcontrib><creatorcontrib>YANG Fengru</creatorcontrib><creatorcontrib>XIN Junfeng</creatorcontrib><creatorcontrib>LI Shixin</creatorcontrib><creatorcontrib>LI Penghao</creatorcontrib><title>PATH PLANNING METHOD AND SYSTEM FOR UNMANNED SURFACE VEHICLE BASED ON IMPROVED GENETIC ALGORITHM</title><description>The present invention discloses a path planning method and system for an unmanned surface vehicle based on an improved genetic algorithm, which perform path planning on the unmanned surface vehicle by means of the improved genetic algorithm. The method comprises the following steps: acquiring course data and location data of the unmanned surface vehicle, and preprocessing same: collecting wave information of an environment where the unmanned surface vehicle is located, and converting same into constraint factors; performing path planning by using the improved genetic algorithm according to the course data and location data of the unmanned surface vehicle, to obtain an optimal path ranking; and correcting, based on the optimal path ranking, the course and speed of the unmanned surface vehicle according to the constraint factors, to complete the path planning.</description><subject>CONTROL OR REGULATING SYSTEMS IN GENERAL</subject><subject>CONTROLLING</subject><subject>FUNCTIONAL ELEMENTS OF SUCH SYSTEMS</subject><subject>MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS</subject><subject>PHYSICS</subject><subject>REGULATING</subject><subject>SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqFikEKwjAQRbtxIeoZnAsIrXqBMZ0mgWQS0qTgqhaJK9FCvT9m4d7V-7z_1tXNY1TgDTJrlmApKtcCcgv9tY9koXMBEtvyU3EpdCgIBlJaGIIL9sU6Bm19cEPZkpiiFoBGuqCjsttq9ZieS979uKn2HUWhDnl-j3mZp3t-5c9oUlMfz3WNzel_8QWamzJe</recordid><startdate>20210209</startdate><enddate>20210209</enddate><creator>ZHANG Yongbo</creator><creator>YANG Fengru</creator><creator>XIN Junfeng</creator><creator>LI Shixin</creator><creator>LI Penghao</creator><scope>EVB</scope></search><sort><creationdate>20210209</creationdate><title>PATH PLANNING METHOD AND SYSTEM FOR UNMANNED SURFACE VEHICLE BASED ON IMPROVED GENETIC ALGORITHM</title><author>ZHANG Yongbo ; YANG Fengru ; XIN Junfeng ; LI Shixin ; LI Penghao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_LU102400A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2021</creationdate><topic>CONTROL OR REGULATING SYSTEMS IN GENERAL</topic><topic>CONTROLLING</topic><topic>FUNCTIONAL ELEMENTS OF SUCH SYSTEMS</topic><topic>MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS</topic><topic>PHYSICS</topic><topic>REGULATING</topic><topic>SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG Yongbo</creatorcontrib><creatorcontrib>YANG Fengru</creatorcontrib><creatorcontrib>XIN Junfeng</creatorcontrib><creatorcontrib>LI Shixin</creatorcontrib><creatorcontrib>LI Penghao</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG Yongbo</au><au>YANG Fengru</au><au>XIN Junfeng</au><au>LI Shixin</au><au>LI Penghao</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>PATH PLANNING METHOD AND SYSTEM FOR UNMANNED SURFACE VEHICLE BASED ON IMPROVED GENETIC ALGORITHM</title><date>2021-02-09</date><risdate>2021</risdate><abstract>The present invention discloses a path planning method and system for an unmanned surface vehicle based on an improved genetic algorithm, which perform path planning on the unmanned surface vehicle by means of the improved genetic algorithm. The method comprises the following steps: acquiring course data and location data of the unmanned surface vehicle, and preprocessing same: collecting wave information of an environment where the unmanned surface vehicle is located, and converting same into constraint factors; performing path planning by using the improved genetic algorithm according to the course data and location data of the unmanned surface vehicle, to obtain an optimal path ranking; and correcting, based on the optimal path ranking, the course and speed of the unmanned surface vehicle according to the constraint factors, to complete the path planning.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_LU102400A1
source esp@cenet
subjects CONTROL OR REGULATING SYSTEMS IN GENERAL
CONTROLLING
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
PHYSICS
REGULATING
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
title PATH PLANNING METHOD AND SYSTEM FOR UNMANNED SURFACE VEHICLE BASED ON IMPROVED GENETIC ALGORITHM
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T01%3A07%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=ZHANG%20Yongbo&rft.date=2021-02-09&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ELU102400A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true