Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Enhui Zheng"'
Publikováno v:
IEEE Access, Vol 12, Pp 129308-129318 (2024)
In recent years, with the rapid development of UAV technology, drones have been widely applied in various fields. Obtaining accurate location information is crucial for UAVs when performing tasks in challenging environments. In previous research, a p
Externí odkaz:
https://doaj.org/article/98f993cd4a8744ef835ec8622a37d013
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7852-7866 (2024)
The geolocalization and navigation technology of unmanned aerial vehicles (UAVs) in denied environments is currently a prominent research area. Prior approaches mainly employed a two-stream network with nonshared weights to extract features from UAV
Externí odkaz:
https://doaj.org/article/a21fafa108ba45f1912685d516d0b387
Publikováno v:
IEEE Access, Vol 12, Pp 43827-43837 (2024)
Traditional simultaneous localization and mapping (SLAM) methodologies predominantly rely on the assumption of a static environment. This constraint limits the applicability of most visual SLAM systems in various real-world scenarios. In this paper,
Externí odkaz:
https://doaj.org/article/c2068d05c8cc4194baaad8ca73db1b74
Publikováno v:
Drones, Vol 8, Iss 9, p 422 (2024)
As the application areas of unmanned aerial vehicles (UAVs) continue to expand, the importance of UAV task allocation becomes increasingly evident. A highly effective and efficient UAV task assignment method can significantly enhance the quality of t
Externí odkaz:
https://doaj.org/article/3450f5739da54d7db702f8c51ebb3f5f
Publikováno v:
Sensors, Vol 24, Iss 17, p 5491 (2024)
Drones traditionally rely on satellite signals for positioning and altitude. However, when in a special denial environment, satellite communication is interrupted, and the traditional positioning and height determination methods face challenges. We m
Externí odkaz:
https://doaj.org/article/2d1507abd1334d3d8e91cfedfd3c4058
Publikováno v:
Sensors, Vol 24, Iss 12, p 3719 (2024)
Within research on the cross-view geolocation of UAVs, differences in image sources and interference from similar scenes pose huge challenges. Inspired by multimodal machine learning, in this paper, we design a single-stream pyramid transformer netwo
Externí odkaz:
https://doaj.org/article/194a92a0b1ae490dab0d39cf5a9c4973
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
IntroductionToxigenic Vibrio cholerae serogroup O1 and O139 are the pathogens responsible for the global cholera epidemic. V. cholerae can settle in the water and spread via the fecal-oral route. Rapid and accurate monitoring of live V. cholerae in e
Externí odkaz:
https://doaj.org/article/32479a6683b74786ae2d5fb7d34c28ed
Publikováno v:
IEEE Access, Vol 10, Pp 34277-34287 (2022)
It is a challenging task for unmanned aerial vehicles (UAVs) without a positioning system to locate targets by using images. Matching drone and satellite images is one of the key steps in this task. Due to the large angle and scale gap between drone
Externí odkaz:
https://doaj.org/article/1d96c187a9b249ed911d931e1f66a28b
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 910 (2023)
UAV localization in denial environments is a hot research topic in the field of cross-view geo-localization. The previous methods tried to find the corresponding position directly in the satellite image through the UAV image, but they lacked the cons
Externí odkaz:
https://doaj.org/article/97ac710e2601498d87ef781cecf64b13
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3979 (2021)
Cross-view geolocalization matches the same target in different images from various views, such as views of unmanned aerial vehicles (UAVs) and satellites, which is a key technology for UAVs to autonomously locate and navigate without a positioning s
Externí odkaz:
https://doaj.org/article/2f940a7cf2d04f7987238580ce6e2dfe