Zobrazeno 1 - 10
of 1 521
pro vyhledávání: '"Scene recognition"'
Publikováno v:
Autonomous Intelligent Systems, Vol 4, Iss 1, Pp 1-13 (2024)
Abstract To solve the problem of mobile robots needing to adjust their pose for accurate operation after reaching the target point in the indoor environment, a localization method based on scene modeling and recognition has been designed. Firstly, th
Externí odkaz:
https://doaj.org/article/8e8fa4a97f67443e8337454b4614b3d4
Publikováno v:
IEEE Access, Vol 12, Pp 99989-100004 (2024)
Computer vision has emerged as a promising tool for improving safety at construction sites through automatic scene recognition. However, traditional approaches require significant labor-intensive and time-consuming efforts for annotations. Although w
Externí odkaz:
https://doaj.org/article/466e871efd914719822b58f1a62b95a9
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 2, Pp 3987-4007 (2023)
Different to pixel-based and object-based image recognition, a larger perspective based on the scene can improve the efficiency of assessing large-scale building damage. However, the complexity of disaster scenes and the scarcity of datasets are majo
Externí odkaz:
https://doaj.org/article/df5ab78d9a654caa8db672a9b8ccfb6b
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8187 (2024)
Detecting objects in images is crucial for several applications, including surveillance, autonomous navigation, augmented reality, and so on. Although AI-based approaches such as Convolutional Neural Networks (CNNs) have proven highly effective in ob
Externí odkaz:
https://doaj.org/article/55f14dee53094d299e175c6ea92e0481
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3077 (2024)
Global Navigation Satellite Systems (GNSS)-based position service is widely applied in cities, but the precision varies significantly in different obstruction scenes. Scene recognition is critical for developing scene-adaptive GNSS algorithms. Howeve
Externí odkaz:
https://doaj.org/article/c87f3da9676a4e20a26618545eec2f9c
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6079 (2024)
Safely landing unmanned aerial vehicles (UAVs) in unknown environments that are denied by GPS is challenging but crucial. In most cases, traditional landing methods are not suitable, especially under complex terrain conditions with insufficient map i
Externí odkaz:
https://doaj.org/article/b2b59b6b80a346469bb57b19131b50ec
Publikováno v:
PeerJ Computer Science, Vol 10, p e1801 (2024)
Destination image is a powerful means by which destinations compete in the tourism industry, and the accurate identification of a destination image better serves destination marketing and management. This study uses multimodal data, such as text, ima
Externí odkaz:
https://doaj.org/article/44ae1e6c871b48479b1ce1732bfedb6c
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper firstly investigates the visual scene testing method with image processing technique and predicts the number of scenes by UML structure. Secondly, the scene recognition of the transport supervision hall is performed by using image processi
Externí odkaz:
https://doaj.org/article/7a27add295bf40329cea8c6730f32670
Autor:
Qiaojun Li, Wei Yang
Publikováno v:
Measurement: Sensors, Vol 30, Iss , Pp 100916- (2023)
In order to improve the recognition for autonomous vehicles with respect to road scenes, a new activation function called ReLU sigmoid is proposed based on ReLU and the sigmoid model, which resolves the issue of neuron necrosis in the ReLU model. Thr
Externí odkaz:
https://doaj.org/article/8616b4176628477a8cfddb5f60f64d5d
Publikováno v:
IEEE Access, Vol 11, Pp 41524-41534 (2023)
Recognizing text from the nature scene images and videos has been the challenging task of computer vision and machine learning research community in recent years. These texts are difficult to recognize because of their shapes, complex backgrounds, co
Externí odkaz:
https://doaj.org/article/20561115ab054a1e8f2e9371ed5aeb5e