6 citations · 7 across the 6 of their papers we have counts for
6 papers
Leveraging Foundation Model Automatic Data Augmentation Strategies and Skeletal Points for Hands Action Recognition in Industrial Assembly Lines
Liang Wu, X. -G. Ma
On modern industrial assembly lines, many intelligent algorithms have been developed to replace or supervise workers. However, we found that there were bottlenecks in both training…
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
Haotian Zhang, Semujju Stuart Dereck, Zhicheng Wang +9
Although the applications of artificial intelligence especially deep learning had greatly improved various aspects of intelligent manufacturing, they still face challenges for wide…
LSGDDN-LCD: An Appearance-based Loop Closure Detection using Local Superpixel Grid Descriptors and Incremental Dynamic Nodes
Baosheng Zhang
Loop Closure Detection (LCD) is an essential component of visual simultaneous localization and mapping (SLAM) systems. It enables the recognition of previously visited scenes to el…
Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning
Hankang Gu, Shangbo Wang, Xiaoguang Ma +4
Multi-agent Deep Reinforcement Learning (MADRL) based traffic signal control becomes a popular research topic in recent years. To alleviate the scalability issue of completely cent…
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach
Yuli. Zhang, Shangbo. Wang, Ruiyuan. Jiang
Reinforcement Learning (RL) is currently one of the most commonly used techniques for traffic signal control (TSC), which can adaptively adjusted traffic signal phase and duration…
DynPL-SVO: A Robust Stereo Visual Odometry for Dynamic Scenes
Baosheng Zhang, Xiaoguang Ma, Hongjun Ma +1
Most feature-based stereo visual odometry (SVO) approaches estimate the motion of mobile robots by matching and tracking point features along a sequence of stereo images. However,…