I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Improved probabilistic roadmap method based on obstacle dis..:
, In:
2024 36th Chinese Control and Decision Conference (CCDC)
,
Xiong, Yi
;
Wang, Caiqi
;
Li, Bo
. - p. 5554-5559 , 2024
Link:
https://doi.org/10.1109/CCDC62350.2024.10587895
RT T1
2024 36th Chinese Control and Decision Conference (CCDC)
: T1
Improved probabilistic roadmap method based on obstacle distance sampling
UL https://suche.suub.uni-bremen.de/peid=ieee-10587895&Exemplar=1&LAN=DE A1 Xiong, Yi A1 Wang, Caiqi A1 Li, Bo A1 Wu, Shiqian YR 2024 SN 1948-9447 K1 Probabilistic logic K1 Robustness K1 Path planning K1 Collision avoidance K1 Optimization K1 path planning K1 sampling-based algorithms K1 probabilistic roadmap method K1 obstacle distance sampling SP 5554 OP 5559 LK http://dx.doi.org/https://doi.org/10.1109/CCDC62350.2024.10587895 DO https://doi.org/10.1109/CCDC62350.2024.10587895 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)