Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 508 of 1253
Back to Result List

Experimental Setup for Neural Networks and Camera-Based Navigation of Mobile Systems

  • The aim of this work is the application and evaluation of a method to visually detect markers at a distance of up to five meters and determine their real-world position. Combinations of cameras and lenses with different parameters were studied to determine the optimal configuration. Based on this configuration, camera images were taken after proper calibration. These images are then transformedThe aim of this work is the application and evaluation of a method to visually detect markers at a distance of up to five meters and determine their real-world position. Combinations of cameras and lenses with different parameters were studied to determine the optimal configuration. Based on this configuration, camera images were taken after proper calibration. These images are then transformed into a bird's eye view using a homography matrix. The homography matrix is calculated with four-point pairs as well as with coordinate transformations. The obtained images show the ground plane un distorted, making it possible to convert a pixel position into a real-world position with a conversion factor. The proposed approach helps to effectively create data sets for training neural networks for navigation purposes.show moreshow less

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/5314
Bibliografische Angaben
Title (English):Experimental Setup for Neural Networks and Camera-Based Navigation of Mobile Systems
Conference:International Scientific Conference Electronics (30. : 15-17 Sept. 2021 : Sozopol, Bulgaria)
Author:Stefan HenselStaff MemberORCiDGND, Marin B. Marinov, Adrian Seigel, Borislav Ganev
Year of Publication:2021
Publisher:IEEE
Page Number:5
First Page:1
Last Page:5
Parent Title (English):2021 XXX International Scientific Conference Electronics
ISBN:978-1-6654-4518-4 (Online)
ISBN:978-1-6654-4519-1 (Print on Demand)
DOI:https://doi.org/10.1109/ET52713.2021.9579521
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Institutes:Bibliografie
Tag:autonomous systems; camera-based navigation; neural networks; statistical methods, ROS; style
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt