Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Samir A. Rawashdeh"'
Publikováno v:
IEEE Access, Vol 11, Pp 102899-102916 (2023)
Event-based vision is a novel perception modality that offers several advantages, such as high dynamic range and robustness to motion blur. In order to process events in batches and utilize modern computer vision deep-learning architectures, an inter
Externí odkaz:
https://doaj.org/article/42a087a9f504403e97904c49defe2add
Publikováno v:
Journal of Imaging, Vol 10, Iss 1, p 12 (2023)
Despite significant strides in achieving vehicle autonomy, robust perception under low-light conditions still remains a persistent challenge. In this study, we investigate the potential of multispectral imaging, thereby leveraging deep learning model
Externí odkaz:
https://doaj.org/article/6575f28fcc7e4a2f9359d102e3808f96
Publikováno v:
IET Image Processing, Vol 16, Iss 5, Pp 1457-1472 (2022)
Abstract Input images are the main source of information for vision‐based algorithms. The presence of raindrops in input images degrades their quality and, consequently, reduces the quality of the target vision‐based algorithm that consumes them.
Externí odkaz:
https://doaj.org/article/3d24d8b303ba483689b1708a09b34498
Highly-Individualized Physical Therapy Instruction Beyond the Clinic Using Wearable Inertial Sensors
Publikováno v:
IEEE Access, Vol 10, Pp 14564-14574 (2022)
Musculoskeletal conditions, often requiring rehabilitation, affect one-third of the U.S. population annually. This paper presents rehabilitation assistive technology that includes body-worn motion sensors and a mobile application that extends the rea
Externí odkaz:
https://doaj.org/article/b51ec8b1005a4a3ea00dc134bfcdf937
Publikováno v:
IEEE Access, Vol 9, Pp 114808-114820 (2021)
The automotive domain is highly regulated, with many safety-critical aspects to consider. This means that a great deal of testing is required to validate the performance of automotive systems, under all possible environmental conditions. For vision-b
Externí odkaz:
https://doaj.org/article/2ec20b8778a94c5792d35695cb041bfa
Autor:
Zaid El Shair, Samir A. Rawashdeh
Publikováno v:
Journal of Imaging, Vol 8, Iss 8, p 210 (2022)
Event-based vision is an emerging field of computer vision that offers unique properties, such as asynchronous visual output, high temporal resolutions, and dependence on brightness changes, to generate data. These properties can enable robust high-t
Externí odkaz:
https://doaj.org/article/8942eaa98f9244dfb18897e68995d2e8
Publikováno v:
Journal of Robotics, Vol 2019 (2019)
Cameras are valuable sensors for robotics perception tasks. Among these perception tasks are motion estimation, localization, and object detection. Cameras are attractive sensors because they are passive and relatively cheap and can provide rich info
Externí odkaz:
https://doaj.org/article/c9e23f00256d4eabbfd6defd03663ebc
Autor:
Samir A. Rawashdeh
Publikováno v:
International Journal of Aerospace Engineering, Vol 2019 (2019)
CubeSats, and small satellites in general, being small and relatively light, are sensitive to disturbance torques in the orbital environment. We developed a simulation tool that includes models of the major environmental torques and small satellite e
Externí odkaz:
https://doaj.org/article/1ef14b39181f4d0b9b6dfbbc8b2e8c67
Autor:
Yazan Hamzeh, Samir A. Rawashdeh
Publikováno v:
Journal of Imaging, Vol 7, Iss 3, p 52 (2021)
Research on the effect of adverse weather conditions on the performance of vision-based algorithms for automotive tasks has had significant interest. It is generally accepted that adverse weather conditions reduce the quality of captured images and h
Externí odkaz:
https://doaj.org/article/dea150a949ba4220b080a6c35cb0e738
Autor:
Mohamed Aladem, Samir A. Rawashdeh
Publikováno v:
Sensors, Vol 18, Iss 9, p 2837 (2018)
Vision-based motion estimation is an effective means for mobile robot localization and is often used in conjunction with other sensors for navigation and path planning. This paper presents a low-overhead real-time ego-motion estimation (visual odomet
Externí odkaz:
https://doaj.org/article/81ba5a3fae9d418aaebe9351190a220e