Zobrazeno 1 - 10
of 425
pro vyhledávání: '"low visibility"'
Autor:
LU Xiaoya, LI Haifang
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 9, Pp 130-137 (2024)
In coal mines, inadequate lighting and dust obstruction result in personnel targets captured by video monitoring systems appearing as small or low-visibility objects in two-dimensional images. The original YOLOv3 network's Darknet53 feature pyramid s
Externí odkaz:
https://doaj.org/article/d736e80282f8480487b3def94b7a7814
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10111 (2024)
Imaging through dense fog presents unique challenges, with essential visual information crucial for applications like object detection and recognition, thereby hindering conventional image processing methods. Despite improvements through neural netwo
Externí odkaz:
https://doaj.org/article/81fbe2eea2b34f519a80c9a2ecdc3d8d
Publikováno v:
Machines, Vol 12, Iss 8, p 557 (2024)
Autonomous vehicles face challenges in small-target detection and, in particular, in accurately identifying traffic lights under low visibility conditions, e.g., fog, rain, and blurred night-time lighting. To address these issues, this paper proposes
Externí odkaz:
https://doaj.org/article/c1a398002f4c40a2ad8d4cd48156c00a
Publikováno v:
Natural Hazards Research, Vol 3, Iss 2, Pp 280-285 (2023)
This study analyzes the visibility characteristics in Beijing from 2015 to 2020 using the 10-min average horizonal visibility hourly data from 20 national meteorological stations (NMSs). We examine the visibility trends on different time and space sc
Externí odkaz:
https://doaj.org/article/4b01066006464479b51c68ef885a0857
Autor:
Anand Shankar, Bikash Chandra Sahana
Publikováno v:
SN Applied Sciences, Vol 5, Iss 5, Pp 1-14 (2023)
Article Highlights If low visibility can be predicted with a high level of accuracy, airports could run more efficiently. Proposed ensemble ML approach optimize bagging, boosting, and stacking algorithms to reliably predict low visibility. It fills t
Externí odkaz:
https://doaj.org/article/5abb180abbd04ca1ba481ad60b944cbc
Autor:
Dongpo He, Yuetong Wang, Yuanzhi Tang, Dexuan Kong, Jing Yang, Wenyu Zhou, Haishan Li, Fen Wang
Publikováno v:
Atmosphere, Vol 15, Iss 7, p 752 (2024)
High-quality visibility forecasting benefits traffic transportation safety, public services, and tourism. For a more accurate forecast of the visibility in the Guizhou region of China, we constructed several visibility forecasting models via progress
Externí odkaz:
https://doaj.org/article/60fb1395d0b84a02836de4ab721ebbb1
Autor:
Ping Juei Liu
Publikováno v:
IEEE Access, Vol 11, Pp 113450-113463 (2023)
We proposed a novel image enhancement framework to raise the visibility of the image’s content. Our primary concern is eliminating haze-like effects and simultaneously increasing images’ brightness. Dehazing and luminance enhancement algorithms a
Externí odkaz:
https://doaj.org/article/fd157a00557c461a93103a8c2e5d85e5
Publikováno v:
IEEE Access, Vol 11, Pp 75782-75793 (2023)
Accurate and real-time detection of small targets of pedestrians and cars in video images is indeed crucial for various applications such as autonomous driving and urban management. Existing detection algorithms face challenges related to small targe
Externí odkaz:
https://doaj.org/article/a2a91ff4efd14e8b87e2d73f7df08be7
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 471 (2024)
Autonomous Unmanned Aerial Vehicles (UAVs) have possible applications in wildlife monitoring, disaster monitoring, and emergency Search and Rescue (SAR). Autonomous capabilities such as waypoint flight modes and obstacle avoidance, as well as their a
Externí odkaz:
https://doaj.org/article/573ac6466808457fa3dbb717bb03336b
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