Zobrazeno 1 - 10
of 46
pro vyhledávání: '"I. Gavrilut"'
Autor:
A. Gacsadi, I. Gavrilut
Publikováno v:
Journal of Electrical and Electronics Engineering, Vol 1, Iss 1, Pp 190-193 (2008)
Vision-based algorithms for multi-robot coordination,are presented in this paper. Cellular Neural Networks (CNNs)processing techniques are used for real time motion planning ofthe robots. The CNN methods are considered an advantageoussolution for ima
Externí odkaz:
https://doaj.org/article/94e2217a8a0243e3a378770bb320bae4
Publikováno v:
Journal of Electrical and Electronics Engineering, Vol 1, Iss 1, Pp 194-197 (2008)
The paper presents a local navigationmethod for mobile robot, based on sensorial informationgiven by two IR sensors. These types of sensors aresimple and relatively low-cost sensing modalities toperform navigation tasks in environments with obstacles
Externí odkaz:
https://doaj.org/article/f4b47ba5f14948b9a512bd875998b4eb
Publikováno v:
2021 16th International Conference on Engineering of Modern Electric Systems (EMES).
Exploring an unknown space it is one of the most well-known tasks to be performed by mobile robots. Among the most used sensors for obstacle detection there are ultrasonic sensors that have the advantage of simplicity in implementation as well as the
Publikováno v:
2019 15th International Conference on Engineering of Modern Electric Systems (EMES).
The paper describes a vision based platform for real-life indoor and outdoor object detection in order to guide visually impaired people. The application is developed using Python and functions from OpenCV library and, ultimately ported upon Raspberr
Publikováno v:
2019 15th International Conference on Engineering of Modern Electric Systems (EMES).
Indoor localization is a not too easy task for autonomous mobile robots, especially if a good precision is required. This task has the purpose to find another robot or to accomplish together complex tasks with one or more robots within the team. This
Publikováno v:
2017 14th International Conference on Engineering of Modern Electric Systems (EMES).
Portable devices are nowadays largely used among people. These devices have a lot of potential in aiding visually impaired people on a daily basis. This paper presents an android application for smartphone, especially made to assist these persons. Th
Publikováno v:
2009 International Symposium on Signals, Circuits and Systems.
This paper presents the medical image denoising by using Cellular Neural Networks (CNN), based on the variational model of Chan and Esedoglu [1]. There are also comparatively analyzed the proposed method and other CNN methods that uses variational co
Publikováno v:
2007 International Symposium on Signals, Circuits and Systems.
The paper presents some vision-based algorithms for multi-robot coordination. Cellular Neural Networks (CNNs) processing techniques are used here for real time motion planning of the robots. The CNN methods are considered an advantageous solution for
Publikováno v:
2007 International Symposium on Signals, Circuits and Systems.
This paper presents a deterministic algorithm for motion estimation in medical image sequences. We are describing the iterated conditional modes (ICM) algorithm adapted to solve the motion estimation problem in medical image sequences. The proposed a
Publikováno v:
International Symposium on Signals, Circuits and Systems, 2005. ISSCS 2005..
The paper presents a visual control algorithm based on images, for two mobile robots in an environment with obstacles. Cellular neural networks (CNNs) processing techniques are used here for motion planning in real time of two mobile robots moving to