Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Zhao, Wenda"'
We propose a fixed-lag smoother-based sensor fusion architecture to leverage the complementary benefits of range-based sensors and visual-inertial odometry (VIO) for localization. We use two fixed-lag smoothers (FLS) to decouple accurate state estima
Externí odkaz:
http://arxiv.org/abs/2311.09056
Autor:
Teetaert, Spencer, Zhao, Wenda, Xinyuan, Niu, Zahir, Hashir, Leong, Huiyu, Hidalgo, Michel, Puga, Gerardo, Lorente, Tomas, Espinosa, Nahuel, Carrasco, John Alejandro Duarte, Zhang, Kaizheng, Di, Jian, Jin, Tao, Li, Xiaohan, Zhou, Yijia, Liang, Xiuhua, Zhang, Chenxu, Loquercio, Antonio, Zhou, Siqi, Brunke, Lukas, Greeff, Melissa, Hoenig, Wolfgang, Panerati, Jacopo, Schoellig, Angela P.
Shared benchmark problems have historically been a fundamental driver of progress for scientific communities. In the context of academic conferences, competitions offer the opportunity to researchers with different origins, backgrounds, and levels of
Externí odkaz:
http://arxiv.org/abs/2308.16743
Ultra-wideband (UWB) time difference of arrival(TDOA)-based localization has emerged as a low-cost and scalable indoor positioning solution. However, in cluttered environments, the performance of UWB TDOA-based localization deteriorates due to the bi
Externí odkaz:
http://arxiv.org/abs/2307.16848
General deep learning-based methods for infrared and visible image fusion rely on the unsupervised mechanism for vital information retention by utilizing elaborately designed loss functions. However, the unsupervised mechanism depends on a well desig
Externí odkaz:
http://arxiv.org/abs/2211.04877
Autor:
Eid, Shehab1,2 (AUTHOR), Zhao, Wenda1,2 (AUTHOR), Williams, Declan1 (AUTHOR), Nasser, Zahra1,2 (AUTHOR), Griffin, Jennifer1 (AUTHOR), Nagorny, Pavel3 (AUTHOR), Schmitt-Ulms, Gerold1,2 (AUTHOR) g.schmittulms@utoronto.ca
Publikováno v:
PLoS ONE. 9/24/2024, Vol. 19 Issue 9, p1-23. 23p.
The dominant trackers generate a fixed-size rectangular region based on the previous prediction or initial bounding box as the model input, i.e., search region. While this manner obtains promising tracking efficiency, a fixed-size search region lacks
Externí odkaz:
http://arxiv.org/abs/2207.04438
Publikováno v:
IEEE Robotics and Automation Letters (2022)
Ultra-wideband (UWB) time difference of arrival (TDOA)-based localization has recently emerged as a promising indoor positioning solution. However, in cluttered environments, both the UWB radio positions and the obstacle-induced non-line-of-sight (NL
Externí odkaz:
http://arxiv.org/abs/2204.04508
Ultra-wideband (UWB) time-difference-of-arrival (TDOA)-based localization has emerged as a promising, low-cost, and scalable indoor localization solution, which is especially suited for multi-robot applications. However, there is a lack of public dat
Externí odkaz:
http://arxiv.org/abs/2203.14471
Publikováno v:
IEEE Robotics and Automation Letters (RA-L) 2021
As robots venture into the real world, they are subject to unmodeled dynamics and disturbances. Traditional model-based control approaches have been proven successful in relatively static and known operating environments. However, when an accurate mo
Externí odkaz:
http://arxiv.org/abs/2112.03756
Accurate indoor localization is a crucial enabling technology for many robotics applications, from warehouse management to monitoring tasks. Ultra-wideband (UWB) time difference of arrival (TDOA)-based localization is a promising lightweight, low-cos
Externí odkaz:
http://arxiv.org/abs/2103.01885