Zobrazeno 1 - 10
of 457
pro vyhledávání: '"Chen Peiyu"'
Publikováno v:
应用气象学报, Vol 35, Iss 5, Pp 551-563 (2024)
The microwave radiometer can detect and retrieve temperature and humidity profiles with high spatial and temporal resolution throughout the day. However, microwave radiometers have few detection frequencies in the middle and upper layers, making them
Externí odkaz:
https://doaj.org/article/4ac2291f88f9454b895db3b626eba8bd
Event cameras are bio-inspired, motion-activated sensors that demonstrate impressive potential in handling challenging situations, such as motion blur and high-dynamic range. Despite their promise, existing event-based simultaneous localization and m
Externí odkaz:
http://arxiv.org/abs/2411.03928
Event cameras are bio-inspired, motion-activated sensors that demonstrate substantial potential in handling challenging situations, such as motion blur and high-dynamic range. In this paper, we proposed EVI-SAM to tackle the problem of 6 DoF pose tra
Externí odkaz:
http://arxiv.org/abs/2312.11911
Leveraging multiple sensors enhances complex environmental perception and increases resilience to varying luminance conditions and high-speed motion patterns, achieving precise localization and mapping. This paper proposes, ECMD, an event-centric mul
Externí odkaz:
http://arxiv.org/abs/2311.02327
Publikováno v:
IEEE Robotics and Automation Letters (Volume: 8, Issue: 6, June 2023)
Event cameras that asynchronously output low-latency event streams provide great opportunities for state estimation under challenging situations. Despite event-based visual odometry having been extensively studied in recent years, most of them are ba
Externí odkaz:
http://arxiv.org/abs/2212.13184
Event cameras are motion-activated sensors that capture pixel-level illumination changes instead of the intensity image with a fixed frame rate. Compared with the standard cameras, it can provide reliable visual perception during high-speed motions a
Externí odkaz:
http://arxiv.org/abs/2209.12160
Autor:
Liu, Wenjie, Dong, Biqin, Chen, Peiyu, Zeng, Lei, Peng, Ming, Wang, Xiang, Wang, Yanshuai, Hong, Shuxian
Publikováno v:
In Journal of Building Engineering 15 November 2024 97
Publikováno v:
In Horticultural Plant Journal September 2024 10(5):1187-1197
Publikováno v:
In Food Control January 2025 167
Training Transformer-based models demands a large amount of data, while obtaining aligned and labelled data in multimodality is rather cost-demanding, especially for audio-visual speech recognition (AVSR). Thus it makes a lot of sense to make use of
Externí odkaz:
http://arxiv.org/abs/2203.07996