Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Song, Junlin"'
Accurate disturbance estimation is crucial for reliable robotic physical interaction. To estimate environmental interference in a low-cost and sensorless way (without force sensor), a variety of tightly-coupled visual inertial external force estimato
Externí odkaz:
http://arxiv.org/abs/2408.16354
Autor:
Huang, Jialong, Song, Junlin, Lian, Penglong, Gan, Mengjie, Su, Zhiheng, Wang, Benhao, Zhu, Wenji, Pu, Xiaomin, Zou, Jianxiao, Fan, Shicai
Due to the scarcity of fault samples and the complexity of non-linear and non-smooth characteristics data in hydroelectric units, most of the traditional hydroelectric unit fault localization methods are difficult to carry out accurate localization.
Externí odkaz:
http://arxiv.org/abs/2405.19665
Autor:
Song, Junlin, Chen, Yuzhuo, Yao, Yuan, Chen, Zetong, Guo, Renhao, Yang, Lida, Sui, Xinyi, Wang, Qihang, Li, Xijiao, Cao, Aihua, Li, Wei
Autism Spectrum Disorder is a condition characterized by a typical brain development leading to impairments in social skills, communication abilities, repetitive behaviors, and sensory processing. There have been many studies combining brain MRI imag
Externí odkaz:
http://arxiv.org/abs/2405.16248
In robotics, motion capture systems have been widely used to measure the accuracy of localization algorithms. Moreover, this infrastructure can also be used for other computer vision tasks, such as the evaluation of Visual (-Inertial) SLAM dynamic in
Externí odkaz:
http://arxiv.org/abs/2403.00976
Autor:
Song, Junlin, Sanchez-Cuevas, Pedro J., Richard, Antoine, Rajan, Raj Thilak, Olivares-Mendez, Miguel
Accurate global localization is crucial for autonomous navigation and planning. To this end, various GPS-aided Visual-Inertial Odometry (GPS-VIO) fusion algorithms are proposed in the literature. This paper presents a novel GPS-VIO system that is abl
Externí odkaz:
http://arxiv.org/abs/2309.12005
This paper introduces a novel GPS-aided visual-wheel odometry (GPS-VWO) for ground robots. The state estimation algorithm tightly fuses visual, wheeled encoder and GPS measurements in the way of Multi-State Constraint Kalman Filter (MSCKF). To avoid
Externí odkaz:
http://arxiv.org/abs/2308.15133
Autor:
Liu, Zhihong, Gao, Zhiming, Song, Junlin, Guo, Meitong, Tian, Qiucheng, Chen, Pengfei, Lv, Chuantao, Hu, Wenbin
Publikováno v:
In Materials Characterization February 2024 208
Akademický článek
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Akademický článek
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Autor:
Song, Junlin, Wang, Chunde
Publikováno v:
In Genomics July 2021 113(4):2839-2846