Multi-scale feature fusion convolutional neural network for indoor small target detection

L Huang, C Chen, J Yun, Y Sun, J Tian, Z Hao… - Frontiers in …, 2022 - frontiersin.org
The development of object detection technology makes it possible for robots to interact with
people and the environment, but the changeable application scenarios make the detection …

Low-illumination image enhancement algorithm based on improved multi-scale Retinex and ABC algorithm optimization

Y Sun, Z Zhao, D Jiang, X Tong, B Tao… - … in Bioengineering and …, 2022 - frontiersin.org
In order to solve the problems of poor image quality, loss of detail information and excessive
brightness enhancement during image enhancement in low light environment, we propose a …

Real-time target detection method based on lightweight convolutional neural network

J Yun, D Jiang, Y Liu, Y Sun, B Tao, J Kong… - … in Bioengineering and …, 2022 - frontiersin.org
The continuous development of deep learning improves target detection technology day by
day. The current research focuses on improving the accuracy of target detection technology …

Improved multi-stream convolutional block attention module for sEMG-based gesture recognition

S Wang, L Huang, D Jiang, Y Sun, G Jiang… - … in Bioengineering and …, 2022 - frontiersin.org
As a key technology for the non-invasive human-machine interface that has received much
attention in the industry and academia, surface EMG (sEMG) signals display great potential …

Time optimal trajectory planing based on improved sparrow search algorithm

X Zhang, F Xiao, XL Tong, J Yun, Y Liu… - … in Bioengineering and …, 2022 - frontiersin.org
Complete trajectory planning includes path planning, inverse solution solving and trajectory
optimization. In this paper, a highly smooth and time-saving approach to trajectory planning …

Intelligent detection of steel defects based on improved split attention networks

Z Hao, Z Wang, D Bai, B Tao, X Tong… - … in Bioengineering and …, 2022 - frontiersin.org
The intelligent monitoring and diagnosis of steel defects plays an important role in improving
steel quality, production efficiency, and associated smart manufacturing. The application of …

Path planning optimization of intelligent vehicle based on improved genetic and ant colony hybrid algorithm

K Shi, L Huang, D Jiang, Y Sun, X Tong… - … in Bioengineering and …, 2022 - frontiersin.org
Intelligent vehicles were widely used in logistics handling, agriculture, medical service,
industrial production, and other industries, but they were often not smooth enough in …

Improved single shot multibox detector target detection method based on deep feature fusion

D Bai, Y Sun, B Tao, X Tong, M Xu… - Concurrency and …, 2022 - Wiley Online Library
The feature layers of different layers in the single shot multibox detector (SSD) are
independently used as the input of the classification network, so it is easy to detect the same …

A tandem robotic arm inverse kinematic solution based on an improved particle swarm algorithm

G Zhao, D Jiang, X Liu, X Tong, Y Sun, B Tao… - … in Bioengineering and …, 2022 - frontiersin.org
The analysis of robot inverse kinematic solutions is the basis of robot control and path
planning, and is of great importance for research. Due to the limitations of the analytical and …

Grasping pose detection for loose stacked object based on convolutional neural network with multiple self-powered sensors information

J Yun, D Jiang, Y Sun, L Huang, B Tao… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
There are a variety of objects, random postures and multiple objects stacked in a
disorganized manner in unstructured home applications, which leads to the object grasping …