Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Xiaolei Lang"'
Localization and mapping with heterogeneous multi-sensor fusion have been prevalent in recent years. To adequately fuse multi-modal sensor measurements received at different time instants and different frequencies, we estimate the continuous-time tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::374e433f01d515e0ff43f57a949ccf14
http://arxiv.org/abs/2302.07456
http://arxiv.org/abs/2302.07456
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 26:1846-1857
The number of agents in many multiagent systems in the real world, such as storage robots and drone cluster systems, continually changes. Still, most current multiagent reinforcement learning (RL) algorithms are limited to fixed network dimensions, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a295552ede2ae6b2cca4aad2b585d4ef
https://doi.org/10.1109/tmech.2021.3076080
https://doi.org/10.1109/tmech.2021.3076080
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfd21ab93c789f2c504524bf981a48d0
https://doi.org/10.1109/iros47612.2022.9981994
https://doi.org/10.1109/iros47612.2022.9981994
In this paper, we propose a probabilistic continuous-time visual-inertial odometry (VIO) for rolling shutter cameras. The continuous-time trajectory formulation naturally facilitates the fusion of asynchronized high-frequency IMU data and motion-dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78cf38b9bdaf3e7056942973346f67ff