Lei Sun
22 Papers
Lei Sun is an academic researcher. The author has contributed to research in topics: Computer science & Decoding methods. The author has an hindex of 2, co-authored 13 publications.
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Papers
Recent Advances in Pedestrian Inertial Navigation Based on Smartphone: A Review
Qu Wang,Mei Ling Fu,Jianquan Wang,Haiyong Luo,Lei Sun,Wei Li,Chaoyi Zhang,Rong Huang,Xianda Li,Zhuqing Jiang,Qilian Liang +10 more
TL;DR: In this article , the authors provide an elaborated, timely, and valuable survey of different infrastructure-free pedestrian positioning and navigation techniques, including pedestrian inertial navigation methods, performance evaluation, and applications.
19
Region-based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things
Mei Ling Fu,Jian Wu,Quanze Wang,Lei Sun,Chaoyi Zhang,Wanqing Guan,Wei Li,Na Chen,Danshi Wang,Jianquan Wang +9 more
TL;DR: Wang et al. as mentioned in this paper developed a region-based fully convolutional networks with deformable convolution and attention fusion to adaptively learn salient features for steel surface defect detection, which performs significantly in scenarios with unclear defect boundaries.
11
Recent Advances in Floor Positioning based on Smartphone
Quanze Wang,Mei Ling Fu,Jianquan Wang,Haiyong Luo,Lei Sun,Wei Li,Chaoyi Zhang,Rong Huang,Xianda Li,Zhuqing Jiang,Yan Huang,Ming yuan Xia +11 more
TL;DR: In this paper , the authors provide an elaborate review of the existing smartphone-based floor positioning techniques and discuss their potential applications, current challenges and future research trends, and provide clear direction to the design and development of more accurate and robust floor positioning systems based on sensors embedded in smartphone.
10
Deep CNN-Based Materials Location and Recognition for Industrial Multi-Crane Visual Sorting System in 5G Network
Mei Ling Fu,Quanze Wang,Jianquan Wang,Lei Sun,Chaoyi Zhang,W. Guan,Qiang Liu,Danshi Wang,Wei Li +8 more
TL;DR: Wang et al. as discussed by the authors developed a multi-crane visual sorting system with cloud PLCs in a 5G environment, in which deep convolutional neural network (CNN)-based character recognition and dynamic scheduling are designed for materials in intelligent manufacturing.
Deep Reinforcement Learning-Based Joint Scheduling of 5G and TSN in Industrial Networks
TL;DR: In this article , the authors proposed a joint scheduling algorithm for 5G-TSN collaboration that takes both 5G radio channel information and the gate control list (GCL) state in the TSN domain into consideration, aiming to provide a latency guarantee for time-triggered applications across 5G and TSN as well as a throughput guarantee for video applications in 5G systems.