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
Vision and Laser-Based Mobile Robot Following and Mapping:
, In:
2024 2nd International Conference on Mechatronics, Control and Robotics (ICMCR)
,
Liu, Lianghao
;
Lin, Rui
;
Zhang, Feng
- p. 38-45 , 2024
Link:
https://doi.org/10.1109/ICMCR60777.2024.10481877
RT T1
2024 2nd International Conference on Mechatronics, Control and Robotics (ICMCR)
: T1
Vision and Laser-Based Mobile Robot Following and Mapping
UL https://suche.suub.uni-bremen.de/peid=ieee-10481877&Exemplar=1&LAN=DE A1 Liu, Lianghao A1 Lin, Rui A1 Zhang, Feng YR 2024 K1 YOLO K1 Target tracking K1 Target recognition K1 Clustering algorithms K1 Path planning K1 Real-time systems K1 Safety K1 YOLOv5 K1 siamese neural networks K1 DWA K1 human following K1 mapping SP 38 OP 45 LK http://dx.doi.org/https://doi.org/10.1109/ICMCR60777.2024.10481877 DO https://doi.org/10.1109/ICMCR60777.2024.10481877 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)