Weather classification by utilizing synthetic data
Weather prediction from real-world images can be termed a complex task when targeting
classification using neural networks. Moreover, the number of images throughout the …
classification using neural networks. Moreover, the number of images throughout the …
[HTML][HTML] An intelligent system control method based on visual sensor
H Diao, L Yin, B Liang, Y Chen - Measurement: Sensors, 2023 - Elsevier
In order to solve the complexity problem caused by the uncertainty of control system models,
this paper utilizes visual sensors and intelligent control technology, and uses data-driven …
this paper utilizes visual sensors and intelligent control technology, and uses data-driven …
[HTML][HTML] Using machine learning for anomaly detection on a system-on-chip under gamma radiation
The emergence of new nanoscale technologies has imposed significant challenges to
designing reliable electronic systems in radiation environments. A few types of radiation like …
designing reliable electronic systems in radiation environments. A few types of radiation like …
A Novel Chip-on-Board Defect Detection Approach Combining Infrared Thermal Evolution and Self-Supervised Transformer
The chip on printed circuit board assembly (PCBA) is developing toward miniaturization and
high density, which makes it increasingly challenging to detect micro solder bump defects …
high density, which makes it increasingly challenging to detect micro solder bump defects …
Robust monocular visual inertial odometry in γ radioactive environments using edge-based point features
H Wang, H Zhang, H Deng, M Fu - Physica Scripta, 2023 - iopscience.iop.org
In the γ radioactive environment, high-energy photons induce degradation of the image
sensor, which effects feature detection and tracking in the Visual Inertial Odometry (VIO) …
sensor, which effects feature detection and tracking in the Visual Inertial Odometry (VIO) …
SC-PROSAC: An improved progressive sample consensus algorithm based on spectral clustering
S Ma, X Ma, H You, T Tang, J Wang… - 2021 3rd International …, 2021 - ieeexplore.ieee.org
This paper proposes an improved progressive consensus sampling (PROSAC) algorithm
based on the spectral clustering algorithm, which aiming at the problem that the calculation …
based on the spectral clustering algorithm, which aiming at the problem that the calculation …
Lightweight image denoising method for feature-based visual SLAM in γ radiation environments
H Wang, H Deng, H Zhang - Proceedings of the Institution of …, 2024 - journals.sagepub.com
In the γ radiation environments, high-energy photons impact image sensor pixels and
induce speckle noise in the scene image, which influences the accuracy of feature detection …
induce speckle noise in the scene image, which influences the accuracy of feature detection …
Design of Obstacle Avoidance Control System for Mobile Robot Based on Vision
W Fang - The International Conference on Cyber Security …, 2022 - Springer
In order to realize the obstacle avoidance control system of mobile robot through robot vision
technology, this paper will carry out relevant research, mainly discusses the basic concept of …
technology, this paper will carry out relevant research, mainly discusses the basic concept of …
Image Generation of Animation Drawing Robot Based on Knowledge Distillation and Semantic Constraints.
D Wang - … Journal of Advanced Computer Science & …, 2024 - search.ebscohost.com
With the development of robot technology, animation drawing robots have gradually
appeared in the public eye. Animation drawing robots can generate many types of images …
appeared in the public eye. Animation drawing robots can generate many types of images …
Synthetic worlds for improving driver assistance systems
SS Minhas - 2022 - repository.essex.ac.uk
The automotive industry is evolving at a rapid pace, new technologies and techniques are
being introduced in order to make the driving experience more pleasant and safer as …
being introduced in order to make the driving experience more pleasant and safer as …