Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Yuwan Gu"'
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 4, Pp 4287-4300 (2022)
Abstract In order to achieve collision-free path planning in complex environment, Munchausen deep Q-learning network (M-DQN) is applied to mobile robot to learn the best decision. On the basis of Soft-DQN, M-DQN adds the scaled log-policy to the imme
Externí odkaz:
https://doaj.org/article/32168163282b494a9a606fb8cb9fd303
Publikováno v:
IET Image Processing, Vol 15, Iss 11, Pp 2441-2453 (2021)
Abstract In order to solve the problem of difficult and low precision in the detection of safety helmet wearing in the complex pose of construction worker, a detection method of safety helmet wearing based on pose estimation is proposed. In the pose
Externí odkaz:
https://doaj.org/article/de1d1f86de3f4c799a445d8138403d71
Publikováno v:
IEEE Access, Vol 9, Pp 139536-139543 (2021)
Automatic detection of workers wearing safety helmets at the construction site is essential for safe production. Aiming at the problem of low recognition rate caused by factors such as background and light in the automatic detection of safety helmets
Externí odkaz:
https://doaj.org/article/06bea9fd5d354c03a2a8d2e82140914c
Publikováno v:
IEEE Access, Vol 8, Pp 135118-135130 (2020)
Human action recognition plays a key role in human-computer interaction in complex environments. However, similar actions will lead to poor feature sequence extraction and result in a reduction in recognition accuracy. This paper proposes a method (A
Externí odkaz:
https://doaj.org/article/c58d30a8f440467cb2e0d3ef05cd0b70
Publikováno v:
Journal of Circuits, Systems and Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e55edc4bf27a77974701d090d9731bf
https://doi.org/10.1142/s021812662350305x
https://doi.org/10.1142/s021812662350305x
Publikováno v:
IET Image Processing, Vol 15, Iss 11, Pp 2441-2453 (2021)
In order to solve the problem of difficult and low precision in the detection of safety helmet wearing in the complex pose of construction worker, a detection method of safety helmet wearing based on pose estimation is proposed. In the pose estimatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a480df3142988c178db3925897ac4c8
https://doaj.org/article/de1d1f86de3f4c799a445d8138403d71
https://doaj.org/article/de1d1f86de3f4c799a445d8138403d71
Publikováno v:
IEEE Access, Vol 9, Pp 139536-139543 (2021)
Automatic detection of workers wearing safety helmets at the construction site is essential for safe production. Aiming at the problem of low recognition rate caused by factors such as background and light in the automatic detection of safety helmets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da777834a82f697a226d9066c789a875
https://ieeexplore.ieee.org/document/9296219/
https://ieeexplore.ieee.org/document/9296219/
Publikováno v:
Journal of Circuits, Systems and Computers. 31
In order to solve the problem of environment generalization in continuous state space, an obstacle avoidance method based on region location is proposed. The method is divided into three steps: (1) Using Region Proposal Network (RPN) to localize the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac72e2e0a80fc3da38cabae19e65a59a
https://doi.org/10.1142/s0218126622501444
https://doi.org/10.1142/s0218126622501444
Publikováno v:
IEEE Access, Vol 8, Pp 135118-135130 (2020)
Human action recognition plays a key role in human-computer interaction in complex environments. However, similar actions will lead to poor feature sequence extraction and result in a reduction in recognition accuracy. This paper proposes a method (A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01aa6170cd063d865738be9684f95108
https://doi.org/10.1109/access.2020.3006067
https://doi.org/10.1109/access.2020.3006067
Publikováno v:
Precision Agriculture. 19:735-749
The recognition of apple fruits in plastic bags is easy to be affected by reflected and refracted light. In order to weaken the influence of light, a method based on block classification is proposed. The method adopts watershed algorithm to segment o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eaf0a0c9bf4d67b7d9408f9d77c2218
https://doi.org/10.1007/s11119-017-9553-2
https://doi.org/10.1007/s11119-017-9553-2