Zobrazeno 1 - 10
of 256 768
pro vyhledávání: '"light conditions"'
M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions
Autor:
Datar, Aniket, Pokhrel, Anuj, Nazeri, Mohammad, Rao, Madhan B., Pan, Chenhui, Zhang, Yufan, Harrison, Andre, Wigness, Maggie, Osteen, Philip R., Ye, Jinwei, Xiao, Xuesu
Long-duration, off-road, autonomous missions require robots to continuously perceive their surroundings regardless of the ambient lighting conditions. Most existing autonomy systems heavily rely on active sensing, e.g., LiDAR, RADAR, and Time-of-Flig
Externí odkaz:
http://arxiv.org/abs/2410.01105
Autor:
Nair, Raji Sadasivan1 (AUTHOR) rajirakeshnair@gmail.com, Raju, Saravanan1 (AUTHOR) rajusar@gmail.com, More, Sanket Jijabrao2 (AUTHOR) sanketmore1818@gmail.com, Puthur, Jos Thomas3 (AUTHOR) jtputhur@rediffmail.com, Makasana, Jayanti4 (AUTHOR) jaymakasana@gmail.com, Ravi, Velumani1 (AUTHOR)
Publikováno v:
Functional Plant Biology. 2024, Vol. 51 Issue 10, p1-14. 14p.
Autor:
Low, Weng Fei, Lee, Gim Hee
The stark contrast in the design philosophy of an event camera makes it particularly ideal for operating under high-speed, high dynamic range and low-light conditions, where standard cameras underperform. Nonetheless, event cameras still suffer from
Externí odkaz:
http://arxiv.org/abs/2409.17988
Existing 2D human pose estimation research predominantly concentrates on well-lit scenarios, with limited exploration of poor lighting conditions, which are a prevalent aspect of daily life. Recent studies on low-light pose estimation require the use
Externí odkaz:
http://arxiv.org/abs/2407.15451
Akademický článek
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Akademický článek
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Pedestrian detection remains a critical problem in various domains, such as computer vision, surveillance, and autonomous driving. In particular, accurate and instant detection of pedestrians in low-light conditions and reduced visibility is of utmos
Externí odkaz:
http://arxiv.org/abs/2401.07801
Autor:
Prokopiuk, Barbara1 (AUTHOR) anna.kapczynska@urk.edu.pl, Kapczyńska, Anna1 (AUTHOR), Pawłowska, Bożena1 (AUTHOR)
Publikováno v:
Agronomy. Oct2024, Vol. 14 Issue 10, p2203. 12p.
Neural Radiance Fields (NeRF) accomplishes photo-realistic novel view synthesis by learning the implicit volumetric representation of a scene from multi-view images, which faithfully convey the colorimetric information. However, sensor noises will co
Externí odkaz:
http://arxiv.org/abs/2403.14053