Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Hongquan Qu"'
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3125 (2024)
With the continuous development of autonomous driving, traffic sign detection, as an essential subtask, has witnessed constant updates in corresponding technologies. Currently, traffic sign detection primarily confronts challenges such as the small s
Externí odkaz:
https://doaj.org/article/e11e1c7684ab4321b64cb4cd6666d98e
Publikováno v:
Energy and Built Environment, Vol 2, Iss 4, Pp 374-379 (2021)
In the crowded metro station, it is important to forecast the changes of environmental parameters for the normal operation of metro and the safety of passengers in the future. Artificial Neural Network (ANN) has a good performance on processing time
Externí odkaz:
https://doaj.org/article/0e84ae094f6946ffac8e0cc57b7843ca
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8725 (2023)
In recent years, semantic segmentation of high-resolution remote sensing images has been gradually applied to many important scenes. However, with the rapid development of remote sensing data acquisition technology, the existing image data processing
Externí odkaz:
https://doaj.org/article/96b6fd12794544689fe3cf15f559d17b
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 2986 (2023)
In autonomous driving, LiDAR (light detection and ranging) data are acquired over time. Most existing 3D object detection algorithms propose the object bounding box by processing each frame of data independently, which ignores the temporal sequence i
Externí odkaz:
https://doaj.org/article/f7b0df136aea4d1baa1b32adf1a463c4
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6754 (2023)
With the rapid development of deep learning, more and more complex models are applied to 3D point cloud object detection to improve accuracy. In general, the more complex the model, the better the performance and the greater the computational resourc
Externí odkaz:
https://doaj.org/article/a121014c71c24084990d4fb60781016a
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2363 (2023)
In recent years, the application of semantic segmentation methods based on the remote sensing of images has become increasingly prevalent across a diverse range of domains, including but not limited to forest detection, water body detection, urban ra
Externí odkaz:
https://doaj.org/article/ea25322810fc407097309a7fe8b016e1
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1189 (2023)
In some complex labor production and human–machine interactions, such as subway driving, to ensure both the efficient and rapid completion of work and the personal safety of staff and the integrity of operating equipment, the level of mental worklo
Externí odkaz:
https://doaj.org/article/a9583e9cacc5469b81a57c33a73b2af0
Publikováno v:
Energy and Built Environment, Vol 1, Iss 1, Pp 93-105 (2020)
The thermal failure of airborne avionics equipment is not optimistic. It is very necessary to establish relatively accurate thermal models for predicting thermal response of avionics equipment under different flight conditions. Traditional thermal mo
Externí odkaz:
https://doaj.org/article/22f1702763d14c67b68709bcba868300
Publikováno v:
Mathematics, Vol 10, Iss 22, p 4261 (2022)
This paper studies a fault isolation method for an optical fiber vibration source detection and early warning system. We regard the vibration sources in the system as faults and then detect and isolate the faults of the system based on a two-step neu
Externí odkaz:
https://doaj.org/article/94af17c4a0a84e0b9c1e447a7e57b0dd
Publikováno v:
Sensors, Vol 22, Iss 18, p 6855 (2022)
Transmission line inspection plays an important role in maintaining power security. In the object detection of the transmission line, the large-scale gap of the fittings is still a main and negative factor in affecting the detection accuracy. In this
Externí odkaz:
https://doaj.org/article/11f9ff7938ca4c95971788be24d8a974