Research on Multi-sensor Fusion Algorithm Based on Improved DS Evidence Theory

The traditional airport runway foreign object automatic detection system has a single monitoring method for foreign objects, and the multi technology system monitoring method is the future development trend. However, when multiple technology systems monitor, the fusion algorithm is prone to evidence...

Full description

Saved in:
Bibliographic Details
Published in:Proceedings (International Conference on Communication Software and Networks) pp. 280 - 285
Main Authors: Liu, Peigang, He, Peng, Gao, Xiaobo, Deng, Ping, Ge, Lei, Li, Pei
Format: Conference Proceeding
Language:English
Published: IEEE 21.07.2023
Subjects:
airport runway foreign object automatic detection system
Airports
Correlation
cross-correlation factor
D-S evidence theory
evidence conflict
Evidence theory
Feature extraction
Fuses
fusion algorithm
Software algorithms
ISSN:2472-8489
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract The traditional airport runway foreign object automatic detection system has a single monitoring method for foreign objects, and the multi technology system monitoring method is the future development trend. However, when multiple technology systems monitor, the fusion algorithm is prone to evidence conflict and failure. This article proposes a multi-sensor fusion algorithm based on the improved D-S evidence theory to address the issue of evidence conflict and failure. The fusion algorithm introduces the cross-correlation factor between various evidence, To achieve better integration of multi technology systems in complex situations.
AbstractList The traditional airport runway foreign object automatic detection system has a single monitoring method for foreign objects, and the multi technology system monitoring method is the future development trend. However, when multiple technology systems monitor, the fusion algorithm is prone to evidence conflict and failure. This article proposes a multi-sensor fusion algorithm based on the improved D-S evidence theory to address the issue of evidence conflict and failure. The fusion algorithm introduces the cross-correlation factor between various evidence, To achieve better integration of multi technology systems in complex situations.
Author Ge, Lei
Li, Pei
Deng, Ping
Liu, Peigang
Gao, Xiaobo
He, Peng
Author_xml – sequence: 1
  givenname: Peigang
  surname: Liu
  fullname: Liu, Peigang
  email: 1423378278@qq.com
  organization: The Second Research Institute of CAAC,Chengdu,China
– sequence: 2
  givenname: Peng
  surname: He
  fullname: He, Peng
  email: 1423378278@qq.com
  organization: The Second Research Institute of CAAC,Chengdu,China
– sequence: 3
  givenname: Xiaobo
  surname: Gao
  fullname: Gao, Xiaobo
  email: 1423378278@qq.com
  organization: The Second Research Institute of CAAC,Chengdu,China
– sequence: 4
  givenname: Ping
  surname: Deng
  fullname: Deng, Ping
  email: 1423378278@qq.com
  organization: The Second Research Institute of CAAC,Chengdu,China
– sequence: 5
  givenname: Lei
  surname: Ge
  fullname: Ge, Lei
  email: 1423378278@qq.com
  organization: The Second Research Institute of CAAC,Chengdu,China
– sequence: 6
  givenname: Pei
  surname: Li
  fullname: Li, Pei
  email: 1423378278@qq.com
  organization: The Second Research Institute of CAAC,Chengdu,China
BookMark eNo1UF9LwzAcjKLgnP0GPuQLdOZvkzzOumlhTnDzeWTtrzbSNiPpBvv2VtSXu-M4juNu0VXve0AIUzKjlJiHIs83a6mMYTNGGJ9RwoziSl6gxCijuSScGZ6RSzRhQrFUC21uUBLjFyGEZjTjSk3Q-h0i2FA22Pf49dgOLo3QRx_w8hjd6M3bTx_c0HT40UaofmJFdwj-NOqnDV6cXAV9CXjbgA_nO3Rd2zZC8sdT9LFcbPOXdPX2XOTzVeooNUO6FxTKvaS1VLbWXDNqhVTCMCIJZJWQlRBW1toa0MD5uJZaC0yzEUgJJZ-i-99eBwC7Q3CdDefd_wX8GxEZUgk
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICCSN57992.2023.10297375
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Xplore Electronic Library
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Xplore Electronic Library
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISBN 9798350329360
EISSN 2472-8489
EndPage 285
ExternalDocumentID 10297375
Genre orig-research
GrantInformation_xml – fundername: Sichuan Science and Technology Program
  grantid: 2023ZHCG0039
  funderid: 10.13039/501100013385
GroupedDBID 6IE
6IF
6IK
6IL
6IN
AAJGR
AAWTH
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
IPLJI
M43
OCL
RIE
RIL
ID FETCH-LOGICAL-i119t-b41ecb51f57af83821a457492050e6d45d44a5f8a9e8e331611aae282ae20cec3
IEDL.DBID RIE
IngestDate Wed Aug 27 02:31:56 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i119t-b41ecb51f57af83821a457492050e6d45d44a5f8a9e8e331611aae282ae20cec3
PageCount 6
ParticipantIDs ieee_primary_10297375
PublicationCentury 2000
PublicationDate 2023-July-21
PublicationDateYYYYMMDD 2023-07-21
PublicationDate_xml – month: 07
  year: 2023
  text: 2023-July-21
  day: 21
PublicationDecade 2020
PublicationTitle Proceedings (International Conference on Communication Software and Networks)
PublicationTitleAbbrev ICCSN
PublicationYear 2023
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0001616377
Score 1.8387417
Snippet The traditional airport runway foreign object automatic detection system has a single monitoring method for foreign objects, and the multi technology system...
SourceID ieee
SourceType Publisher
StartPage 280
SubjectTerms airport runway foreign object automatic detection system
Airports
Correlation
cross-correlation factor
D-S evidence theory
evidence conflict
Evidence theory
Feature extraction
Fuses
fusion algorithm
Software algorithms
Title Research on Multi-sensor Fusion Algorithm Based on Improved DS Evidence Theory
URI https://ieeexplore.ieee.org/document/10297375
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV09T8MwED3RigEWvor4lgdWlzi243iEQgVLVKkgdasc5wKVIEFpyu_HTgiFgYHFOlm2ZJ1l3fn5nh_AZWBZntqI0xSNoMLmGTVMSGpMyDEKTIzMNmITKkni2UxPvsjqDRcGEZviMxx6s3nLz0q78lCZO-FeaUnJHvSUilqy1hpQiVxqoVRXrRPoq4fRaJpIpbUnXIV82E3_JaTSxJHxzj9XsAuDNSOPTL5jzR5sYLEP2z8-EzyApCuiI2VBGl4tXbo7almR8cpDYuT69bmsFvXLG7lxoSvzw1pIwdm3U9Lpi5KWrj-Ap_Hd4-iefqkl0AVjuqapYGhTyXKpTB7zOGRGSCV0GMgAo0zITAgj89hojJFz5y5mDLobl2sCi5YfQr8oCzwCwvPQP88qT-ERJmVG8dTneZFGI63SxzDwrpm_tx9izDuvnPzRfwpbfgM8JBqyM-jX1QrPYdN-1ItlddFs4yehAJ1V
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFA46BfXir4m_zcFrZtMkTXPU6dhwlsEm7DbS9FUH2srW-febtKvTgwcv4RFCCC-E9_LlffkQuvYMTWMTMBKD5oSbNCGackG09hkEng6BmlJsQkZROB6rwZKsXnJhAKAsPoOWM8u3_CQ3CweV2RPulJakWEcbgnPfq-haK0glsMmFlHW9jqdueu32MBJSKUe58lmrnuCXlEoZSTq7_1zDHmquOHl48B1t9tEaZAdo58d3gocoqsvocJ7hkllL5vaWms9wZ-FAMXz79pLPpsXrO76zwStxwypQwdr3Q1wrjOKKsN9Ez52HUbtLlnoJZEqpKkjMKZhY0FRInYYs9KnmQnLle8KDIOEi4VyLNNQKQmDMuotqDfbOZRvPgGFHqJHlGRwjzFLfPdBKR-LhOqZasthleoECLYxUJ6jpXDP5qL7EmNReOf2j_wptdUdP_Um_Fz2eoW23GQ4g9ek5ahSzBVygTfNZTOezy3JLvwAC6qCc
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=Proceedings+%28International+Conference+on+Communication+Software+and+Networks%29&rft.atitle=Research+on+Multi-sensor+Fusion+Algorithm+Based+on+Improved+DS+Evidence+Theory&rft.au=Liu%2C+Peigang&rft.au=He%2C+Peng&rft.au=Gao%2C+Xiaobo&rft.au=Deng%2C+Ping&rft.date=2023-07-21&rft.pub=IEEE&rft.eissn=2472-8489&rft.spage=280&rft.epage=285&rft_id=info:doi/10.1109%2FICCSN57992.2023.10297375&rft.externalDocID=10297375