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pro vyhledávání: '"Manaram Gnanasekera"'
Autor:
Manaram Gnanasekera, Jay Katupitiya
Publikováno v:
Drones, Vol 6, Iss 5, p 106 (2022)
This paper presents a methodology that can be used to avoid collisions of aerial drones. Even though there are many collision avoidance methods available in literature, collision cone is a proven method that can be used to predict a collision beforeh
Externí odkaz:
https://doaj.org/article/f01bd9a85d394f96a7abe4c16af1282e
Publikováno v:
Sensors, Vol 21, Iss 21, p 7218 (2021)
This paper proposes an algorithm that will allow an autonomous aerial drone to approach and follow a steady or moving herd of cattle using only range measurements. The algorithm is also insensitive to the complexity of the herd’s movement and the m
Externí odkaz:
https://doaj.org/article/72d51e5e33c5495ead12f8ab9ecd03f7
Autor:
Manaram Gnanasekera, Jay Katupitiya
Publikováno v:
2022 8th International Conference on Control, Automation and Robotics (ICCAR).
Autor:
Jay Katupitiya, Manaram Gnanasekera
Publikováno v:
IROS
UAVs or Unmanned Aerial Vehicles are an upcoming technology which has eased human lifestyles in many ways. Due to this trend future skies have a risk of getting congested. In such a situation time optimal collision avoidance would be extremely vital
Publikováno v:
2020 6th International Conference on Control, Automation and Robotics (ICCAR).
This paper presents a novel methodology for a UAV to intercept stationary or moving ground targets of interest. The method can be implemented with minimal computational burden and minimal sensing. The only sensing required is range measurements. The
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 21
Sensors, Vol 21, Iss 7218, p 7218 (2021)
Sensors
Volume 21
Issue 21
Sensors, Vol 21, Iss 7218, p 7218 (2021)
This paper proposes an algorithm that will allow an autonomous aerial drone to approach and follow a steady or moving herd of cattle using only range measurements. The algorithm is also insensitive to the complexity of the herd’s movement and the m
The Error Analysis Based on the Kalman Gain in a Position Predicting Algorithm of an Occluded Object
Publikováno v:
Journal of Signal and Information Processing. :161-177
Detecting occluded objects is a crucial exercise in many spheres of application. For example in Strafing (attacking ground targets from low flying aircrafts) or vehicular tracking, continuous detection of the object even when it is occluded by anothe
Publikováno v:
International Journal of Computer Applications. 128:25-28
An accurate approach for localization and segmentation of an optic disk (OD) in the retinal images is one of the most imperative tasks in an automated screening system. The retinal fundus images analysis is extensively used in the diagnosis and treat
Publikováno v:
2016 International Conference on Microelectronics, Computing and Communications (MicroCom).
A Kalman Estimation method which is used to estimate the position of an occluded object has a large error caused due to noise. In an occlusion, the work below proposes an algorithm with a proper Altering mechanism which could handle an occlusion with
Autor:
Manaram Gnanasekera
Publikováno v:
2013 8th International Conference on Computer Science & Education.
This frame work is a solution for two global issues. First is, hand amputated people cannot control machines by using fingers. The second is unavailability of a low cost human motion controlled system for gaming. A computer vision based solution is g