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
Pothole Detection Using a Self Driving Car:
, In:
2024 3rd International Conference for Innovation in Technology (INOCON)
,
Lakhani, Arzoo
;
Yadav, Ankit
;
Dutta, Percy
.. - p. 1-5 , 2024
Link:
https://doi.org/10.1109/INOCON60754.2024.10511865
RT T1
2024 3rd International Conference for Innovation in Technology (INOCON)
: T1
Pothole Detection Using a Self Driving Car
UL https://suche.suub.uni-bremen.de/peid=ieee-10511865&Exemplar=1&LAN=DE A1 Lakhani, Arzoo A1 Yadav, Ankit A1 Dutta, Percy A1 Pandey, Tarush A1 Ambudkar, Bhavna YR 2024 K1 Training K1 Technological innovation K1 Roads K1 Decision making K1 Object detection K1 Data processing K1 Real-time systems K1 Arduino K1 Raspberry Pi K1 TinyYOLOv4 K1 object detection SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/INOCON60754.2024.10511865 DO https://doi.org/10.1109/INOCON60754.2024.10511865 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)