Search Results - "Li, Shuaixin"

HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction by Liang, Shiyang, Liu, Siwei, Song, Junliang, Lin, Qiang, Zhao, Shihong, Li, Shuaixin, Li, Jiahui, Liang, Shangsong, Wang, Jingjie

“…Abstract Circular RNA (CircRNA) is a type of non-coding RNAs in which both ends are covalently linked. Researchers have demonstrated that many circRNAs can act…”
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InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping by Li, Shuaixin, Tian, Bin, Zhu, Xiaozhou, Gui, Jianjun, Yao, Wen, Li, Guangyun

“…Traditional LiDAR odometry (LO) systems mainly leverage geometric information obtained from the traversed surroundings to register lazer scans and estimate…”
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3D LiDAR/IMU Calibration Based on Continuous-Time Trajectory Estimation in Structured Environments by Li, Shuaixin, Wang, Li, Li, Jiuren, Tian, Bin, Chen, Long, Li, Guangyun

“…Sensor calibration is a fundamental step for improving the performance in sensor fusion, the aim of which is to spatially and temporally register sensors with…”
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SLAM integrated mobile mapping system in complex urban environments by Li, Shuaixin, Li, Guangyun, Wang, Li, Qin, Yuchu

“…In this paper, a SLAM-integrated MMS with the capability of efficient, consistent and robust mapping in complex environments where GNSS signal is…”
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Bridge the Spatial Semantic Gap: Multiattention Shape Adaptive Network for Infrared Target Segmentation by Yang, Benyi, Zhu, Xiaozhou, Liu, Yibing, Zhou, Jiexin, Li, Shuaixin, Zhu, Hai, Yao, Wen

“…For infrared target segmentation, convolutional neural network-based (CNN-based) methods have largely improved the segmentation accuracy. Previous CNN-based…”
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A three-dimensional robust ridge estimation positioning method for UWB in a complex environment by Li, Shuaixin, Li, Guangyun, Wang, Li, Zhou, Yanglin, Peng, Yifan, Fu, Jingyang

“…The Ultra-Wide Bandwidth (UWB) signal has received much attention due to its penetrability and high positioning accuracy with the increasing demand for indoor…”
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A real-time, robust and versatile visual-SLAM framework based on deep learning networks by Xiao, Zhang, Li, Shuaixin

“…This paper explores how deep learning techniques can improve visual-based SLAM performance in challenging environments. By combining deep feature extraction…”
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InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping by Li, Shuaixin, Tian, Bin, Xiaozhou, Zhu, Jianjun, Gui, Wen, Yao, Li, Guangyun

“…Traditional LiDAR odometry (LO) systems mainly leverage geometric information obtained from the traversed surroundings to register laser scans and estimate…”
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An Initialization Method for Monocular Visual-Inertial Odometry Based on Uncertainty State by Fu, Peng, Li, Shuaixin, Yu, Tianyou, Zhu, Xiaozhou, Yao, Wen, Chen, Xiaoqian

“…In recent years, monocular visual-inertial systems (VINS) has been widely used and studied in U A V, three-dimensional reconstruction, augmented reality and…”
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Smartphone-based Pedestrian Localization Algorithm using Phone Camera and Location Coded Targets by Zhou, Yanglin, Li, Guangyun, Wang, Li, Li, Shuaixin, Zong, Wenpeng

“…With the rapid development of national economy, higher requests have been put forward on indoor and outdoor seamless PNT (positioning navigation and timing)…”
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