Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Pramod AB"'
Publikováno v:
IEEE Access, Vol 10, Pp 38351-38369 (2022)
The exponentially growing Internet of Things (IoT) market presents compelling opportunities for innovators to develop and create meaningful applications affecting everyday life. This shifting IoT paradigm is placing new demands on educational institu
Externí odkaz:
https://doaj.org/article/02556d9eaf6e47b59ead2f35860805e5
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 5, Iss , Pp 100159- (2023)
Artificial Intelligence (AI) and Computer Vision (CV) have rapidly permeated various industries, increasing demand for professionals well-versed in these disciplines. In response to this need, this study evaluates the effectiveness of a novel undergr
Externí odkaz:
https://doaj.org/article/6f3a403156e5401e9c132636586bab33
Publikováno v:
IEEE Access, Vol 9, Pp 126216-126230 (2021)
The exponential growth in the adoption of drones in various industrial applications has created a demand for professionals experienced in designing, programming, operating, and piloting drones. This paper reports on an active learning-based instructi
Externí odkaz:
https://doaj.org/article/77ed818fe3d9477c9124cc47415334ce
Publikováno v:
IEEE Access, Vol 9, Pp 166588-166602 (2021)
This paper presents a real-time method to detect and track multiple mobile ground robots using event cameras. The method uses density-based spatial clustering of applications with noise (DBSCAN) to detect the robots and a single k-dimensional ( $k -
Externí odkaz:
https://doaj.org/article/79ee4f5d5ad54ff782816adb6c21f357
Publikováno v:
IEEE Access, Vol 9, Pp 132491-132507 (2021)
Enabling coordinated motion of multiple quadrotors is an active area of research in the field of small unmanned aerial vehicles (sUAVs). While there are many techniques found in the literature that address the problem, these studies are limited to si
Externí odkaz:
https://doaj.org/article/17ad747cbc134e00b5da2838af116023
Publikováno v:
IEEE Access, Vol 8, Pp 54910-54927 (2020)
Wind disturbance presents a formidable challenge to the flight performance of multi-rotor small unmanned aerial vehicles (sUAVs). This paper presents a comprehensive review of techniques for measuring wind speed and airspeed for multi-rotor sUAVs. Th
Externí odkaz:
https://doaj.org/article/aaafbfa061b44a3b8751e75626b36766
Autor:
Pramod Abichandani, Deepan Lobo, Meghna Muralidharan, Nathan Runk, William McIntyre, Donald Bucci, Hande Benson
Publikováno v:
Drones, Vol 7, Iss 1, p 58 (2023)
This work demonstrates distributed motion planning for multi-rotor unmanned aerial vehicle in a windy outdoor environment. The motion planning is modeled as a receding horizon mixed integer nonlinear programming (RH-MINLP) problem. Each quadrotor sol
Externí odkaz:
https://doaj.org/article/9e5212ece7f84271b76adb3f516dd4c5
Publikováno v:
IEEE Access, Vol 7, Pp 147081-147093 (2019)
The sustained growth of the solar energy industry has created the need to formalize solar energy education. This paper elucidates a novel, cloud-based, virtual reality (VR) pedagogical system that provides students with the fundamentals of solar or P
Externí odkaz:
https://doaj.org/article/951673d609aa4a829eb118fe963d7621
Publikováno v:
Sensors, Vol 22, Iss 9, p 3240 (2022)
Motion capture systems are crucial in developing multi-quadrotor systems due to their ability to provide fast and accurate ground truth measurements for tracking and control. This paper presents the implementation details and experimental validation
Externí odkaz:
https://doaj.org/article/ab714758f03c43658585e2914b488c76
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