Zobrazeno 1 - 10
of 947
pro vyhledávání: '"A. Koeser"'
Autor:
T. D. Jackson, S. Sethi, E. Dellwik, N. Angelou, A. Bunce, T. van Emmerik, M. Duperat, J.-C. Ruel, A. Wellpott, S. Van Bloem, A. Achim, B. Kane, D. M. Ciruzzi, S. P. Loheide II, K. James, D. Burcham, J. Moore, D. Schindler, S. Kolbe, K. Wiegmann, M. Rudnicki, V. J. Lieffers, J. Selker, A. V. Gougherty, T. Newson, A. Koeser, J. Miesbauer, R. Samelson, J. Wagner, A. R. Ambrose, A. Detter, S. Rust, D. Coomes, B. Gardiner
Publikováno v:
Biogeosciences, Vol 18, Pp 4059-4072 (2021)
Interactions between wind and trees control energy exchanges between the atmosphere and forest canopies. This energy exchange can lead to the widespread damage of trees, and wind is a key disturbance agent in many of the world's forests. However, mos
Externí odkaz:
https://doaj.org/article/acdb5965a0c648699acb85d6d36ddf17
Many underwater robotic applications relying on vision sensors require proper camera calibration, i.e. knowing the incoming light ray for each pixel in the image. While for the ideal pinhole camera model all viewing rays intersect in a single 3D poin
Externí odkaz:
http://arxiv.org/abs/2405.18018
In this paper, we present a complete refractive Structure-from-Motion (RSfM) framework for underwater 3D reconstruction using refractive camera setups (for both, flat- and dome-port underwater housings). Despite notable achievements in refractive mul
Externí odkaz:
http://arxiv.org/abs/2403.08640
When created faithfully from real-world data, Digital 3D representations of objects can be useful for human or computer-assisted analysis. Such models can also serve for generating training data for machine learning approaches in settings where data
Externí odkaz:
http://arxiv.org/abs/2312.13494
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing, Volume 209, March 2024, Pages 197-212
Underwater image restoration has been a challenging problem for decades since the advent of underwater photography. Most solutions focus on shallow water scenarios, where the scene is uniformly illuminated by the sunlight. However, the vast majority
Externí odkaz:
http://arxiv.org/abs/2309.02217
Publikováno v:
Journal of Field Robotics 2024
Despite impressive results achieved by many on-land visual mapping algorithms in the recent decades, transferring these methods from land to the deep sea remains a challenge due to harsh environmental conditions. Images captured by autonomous underwa
Externí odkaz:
http://arxiv.org/abs/2308.06147
In this paper, we present a comprehensive investigation of the challenges of Monocular Visual Simultaneous Localization and Mapping (vSLAM) methods for underwater robots. While significant progress has been made in state estimation methods that utili
Externí odkaz:
http://arxiv.org/abs/2306.08738
In order to advance underwater computer vision and robotics from lab environments and clear water scenarios to the deep dark ocean or murky coastal waters, representative benchmarks and realistic datasets with ground truth information are required. I
Externí odkaz:
http://arxiv.org/abs/2305.04226
Reliable quantification of natural and anthropogenic gas release (e.g.\ CO$_2$, methane) from the seafloor into the water column, and potentially to the atmosphere, is a challenging task. While ship-based echo sounders such as single beam and multibe
Externí odkaz:
http://arxiv.org/abs/2112.07414
The majority of Earth's surface lies deep in the oceans, where no surface light reaches. Robots diving down to great depths must bring light sources that create moving illumination patterns in the darkness, such that the same 3D point appears with di
Externí odkaz:
http://arxiv.org/abs/2110.00480