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1,040 results on '"Wang, Shengpeng"'

11. Research on millimeter-wave radar-assisted multi-agent collaborative localization and mapping

Author

WANG Wei, WANG Shengpeng, ZHANG Ruijie, and LUO Zhiqing

Subjects
localization and mapping, millimeter-wave radar, multi-agent collaboration, low-altitude Internet of things, Information technology, T58.5-58.64, Management information systems, T58.6-58.62
Abstract

With the development of autonomous driving technology, the low-altitude Internet of things has gradually become a key focus of national industrial innovation. High-precision and highly adaptable simultaneous localization and mapping are crucial for the intelligent operation of unmanned systems. However, the limited perception capabilities of a single agent and the susceptibility of visual sensors to interference make it challenging for traditional methods to meet the demands of real-time localization and mapping in complex and dynamic environments. To enhance the accuracy and adaptability of localization and mapping, an innovative millimeter-wave radar-assisted multi-agent collaborative localization and mapping scheme was presented. This scheme deeply explored the multi-dimensional features of millimeter-wave radar in the time, space, and Doppler domains, effectively filtering and collecting reliable point cloud information to achieve local odometry and local map construction. With shared local map information, a collaborative global optimization mechanism was designed to achieve precise localization and mapping. Experimental results demonstrate that this scheme effectively ensures the robustness and accuracy of the system.

Published
2024
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24. Comparative Analysis of Sensory Evaluation Methods for Qingzhuan Tea

Author

LIU Panpan, FENG Lin, ZHENG Lin, XUE Jinjin, WANG Shengpeng, WANG Xueping, YE Fei, TENG Jing, GUI Anhui, HAN Yanna, CHEN Junhai, ZHU Peng, GAO Shiwei, ZHENG Pengcheng

Subjects
qingzhuan tea, sensory evaluation, compressed tea, water extract, Food processing and manufacture, TP368-456
Abstract

To propose a sensory evaluation method suitable for Qingzhuan tea, a representative Qingzhuan tea produced in Hubei was soak or spray boiled in order to analyze the effects of different boiling conditions on the sensory quality and the leaching rate of major chemical components of Qingzhuan tea. The sensory quality and chemical components of the tea infusions were compared with those of tea infusion obtained by the brewing method specified in the Chinese national standard. The results showed that the sensory quality of the boiled tea infusion was significantly better than that of the brewed tea infusion; the leaching rates of major quality components such as water extract, tea polyphenols, amino acids, soluble sugars and tea pigments were much higher in the former than in the latter. From the perspectives of sensory quality and the leaching rate of major quality components, tea infusion prepared by boiling for 2 min with a tea/water ratio of 1:80 and then standing for 2–4 min tasted moderate and had good internal quality. Further correlation analysis showed high correlation coefficients between the leaching rates of soluble sugars, theabrownine and water extract and taste quality. The results of this study provide a reference for the objective evaluation of the sensory quality of Qingzhuan tea and other types of compressed tea.

Published
2024
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30. Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report

Author

Ignatov, Andrey, Timofte, Radu, Denna, Maurizio, Younes, Abdel, Lek, Andrew, Ayazoglu, Mustafa, Liu, Jie, Du, Zongcai, Guo, Jiaming, Zhou, Xueyi, Jia, Hao, Yan, Youliang, Zhang, Zexin, Chen, Yixin, Peng, Yunbo, Lin, Yue, Zhang, Xindong, Zeng, Hui, Zeng, Kun, Li, Peirong, Liu, Zhihuang, Xue, Shiqi, and Wang, Shengpeng

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Image super-resolution is one of the most popular computer vision problems with many important applications to mobile devices. While many solutions have been proposed for this task, they are usually not optimized even for common smartphone AI hardware, not to mention more constrained smart TV platforms that are often supporting INT8 inference only. To address this problem, we introduce the first Mobile AI challenge, where the target is to develop an end-to-end deep learning-based image super-resolution solutions that can demonstrate a real-time performance on mobile or edge NPUs. For this, the participants were provided with the DIV2K dataset and trained quantized models to do an efficient 3X image upscaling. The runtime of all models was evaluated on the Synaptics VS680 Smart Home board with a dedicated NPU capable of accelerating quantized neural networks. The proposed solutions are fully compatible with all major mobile AI accelerators and are capable of reconstructing Full HD images under 40-60 ms while achieving high fidelity results. A detailed description of all models developed in the challenge is provided in this paper., Comment: Mobile AI 2021 Workshop and Challenges: https://ai-benchmark.com/workshops/mai/2021/

Published
2021

37. Consensus statement on research and application of Chinese herbal medicine derived extracellular vesicles-like particles (2023 edition)

Author

Zhao, Qing, Wang, Tong, Wang, Hongbin, Cao, Peng, Jiang, Chengyu, Qiao, Hongzhi, Peng, Lihua, Lin, Xingdong, Jiang, Yunyao, Jin, Honglei, Zhang, Huantian, Wang, Shengpeng, Wang, Yang, Wang, Ying, Chen, Xi, Fan, Junbing, Li, Bo, Li, Geng, Liu, Bifeng, Li, Zhiyang, Qi, Suhua, Zhang, Mingzhen, Zheng, Jianjian, Zhou, Jiuyao, Zheng, Lei, and Zhao, Kewei

Published
2024
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