Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Noi Quang Truong"'
Publikováno v:
IEEE Access, Vol 8, Pp 17103-17120 (2020)
Age estimation using facial images is applicable in various fields, such as age-targeted marketing, analysis of demand and preference for goods, skin care, remote medical service, and age statistics, for describing a specific place. However, if a low
Externí odkaz:
https://doaj.org/article/873b4c1c80c24a7ca1633b1d44a90b66
Publikováno v:
IEEE Access, Vol 7, Pp 61639-61655 (2019)
There have been a significant number of recent studies on autonomous landing in unmanned aerial vehicles (UAVs). Early studies employed a global positioning system (GPS) receivers for this purpose. However, because GPS signals cannot be used in certa
Externí odkaz:
https://doaj.org/article/2624bbe5b3834bf4975b725ac069cf6f
Publikováno v:
IEEE Access, Vol 7, Pp 93448-93461 (2019)
Research into the prevention of driver inattention by detecting the driver gaze has become more vital, as traffic accidents due to driver inattention have increased. In a vehicle environment, the conventional gaze-detection methods include detecting
Externí odkaz:
https://doaj.org/article/af8bad6d3671495ebaa9b82b72877bd6
Publikováno v:
IEEE Access, Vol 7, Pp 104025-104044 (2019)
With the recent development of intelligent surveillance systems, the importance of research study on gender recognition of people at a distance is also on the rise. The existing gender recognition technologies studies have used high-resolution facial
Externí odkaz:
https://doaj.org/article/cecdc9a547404aaaa2fec3f29a0e2081
Autor:
Noi Quang Truong, Young Won Lee, Muhammad Owais, Dat Tien Nguyen, Ganbayar Batchuluun, Tuyen Danh Pham, Kang Ryoung Park
Publikováno v:
Sensors, Vol 20, Iss 14, p 3918 (2020)
Deep learning-based marker detection for autonomous drone landing is widely studied, due to its superior detection performance. However, no study was reported to address non-uniform motion-blurred input images, and most of the previous handcrafted an
Externí odkaz:
https://doaj.org/article/4a6406c6f94b4504b3b5d06d8801cd31
Publikováno v:
Sensors, Vol 19, Iss 2, p 281 (2019)
Detection and classification of road markings are a prerequisite for operating autonomous vehicles. Although most studies have focused on the detection of road lane markings, the detection and classification of other road markings, such as arrows and
Externí odkaz:
https://doaj.org/article/d7f68ce3b01a47ac9399fed5177fedda
Autor:
Phong Ha Nguyen, Muhammad Arsalan, Ja Hyung Koo, Rizwan Ali Naqvi, Noi Quang Truong, Kang Ryoung Park
Publikováno v:
Sensors, Vol 18, Iss 6, p 1703 (2018)
Autonomous landing of an unmanned aerial vehicle or a drone is a challenging problem for the robotics research community. Previous researchers have attempted to solve this problem by combining multiple sensors such as global positioning system (GPS)
Externí odkaz:
https://doaj.org/article/87b1621fca35436d9caf628a23137057
Publikováno v:
IEEE Access, Vol 7, Pp 61639-61655 (2019)
There have been a significant number of recent studies on autonomous landing in unmanned aerial vehicles (UAVs). Early studies employed a global positioning system (GPS) receivers for this purpose. However, because GPS signals cannot be used in certa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d256972060365ffc7e09233eea0b8ef5
https://doi.org/10.1109/access.2019.2915944
https://doi.org/10.1109/access.2019.2915944
Autor:
Tuyen Danh Pham, Dat Tien Nguyen, Young Won Lee, Kang Ryoung Park, Noi Quang Truong, Ganbayar Batchuluun, Muhammad Owais
Publikováno v:
Sensors, Vol 20, Iss 3918, p 3918 (2020)
Sensors
Volume 20
Issue 14
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 14
Sensors (Basel, Switzerland)
Deep learning-based marker detection for autonomous drone landing is widely studied, due to its superior detection performance. However, no study was reported to address non-uniform motion-blurred input images, and most of the previous handcrafted an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98308a0a27e66cd06f588e69776af20a
https://www.mdpi.com/1424-8220/20/14/3918
https://www.mdpi.com/1424-8220/20/14/3918
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