Zobrazeno 1 - 10
of 26 458
pro vyhledávání: '"A. Behnke"'
Autor:
Cao, Helin, Behnke, Sven
Perception systems play a crucial role in autonomous driving, incorporating multiple sensors and corresponding computer vision algorithms. 3D LiDAR sensors are widely used to capture sparse point clouds of the vehicle's surroundings. However, such sy
Externí odkaz:
http://arxiv.org/abs/2409.18092
Searches of new signals in particle physics are usually done by training a supervised classifier to separate a signal model from the known Standard Model physics (also called the background model). However, even when the signal model is correct, syst
Externí odkaz:
http://arxiv.org/abs/2409.06399
We present a novel seated feet controller for handling 3-DoF aimed to control locomotion for telepresence robotics and virtual reality environments. Tilting the feet on two axes yields in forward, backward and sideways motion. In addition, a separate
Externí odkaz:
http://arxiv.org/abs/2408.02319
Autor:
Memmesheimer, Raphael, Overbeck, Martina, Kral, Bjoern, Steffen, Lea, Behnke, Sven, Gersch, Martin, Roennau, Arne
Autonomous cleaning robots for public spaces have potential for addressing current societal challenges, such as labor shortages and cleanliness in public spaces. Other application domains like autonomous driving, bin picking, or search and rescue hav
Externí odkaz:
http://arxiv.org/abs/2407.16393
Autor:
Soltanifar, Mohsen, Lee, Chel Hee, Shirazi, Amin, Behnke, Martha, Raymond-Loher, Ilfra, Dagne, Getachew A.
The precise calculation of sample sizes is a crucial aspect in the design of clinical trials particularly for pharmaceutical statisticians. While various R statistical software packages have been developed by researchers to estimate required sample s
Externí odkaz:
http://arxiv.org/abs/2407.11342
Autor:
ZEUS Collaboration, Abt, I., Aggarwal, R., Aushev, V., Behnke, O., Bertolin, A., Bloch, I., Brock, I., Brook, N. H., Brugnera, R., Bruni, A., Bussey, P. J., Caldwell, A., Catterall, C. D., Chwastowski, J., Ciborowski, J., Ciesielski, R., Cooper-Sarkar, A. M., Corradi, M., Dementiev, R. K., Dusini, S., Ferrando, J., Foster, B., Gallo, E., Gangadharan, D., Garfagnini, A., Geiser, A., Grzelak, G., Gwenlan, C., Hochman, D., Jomhari, N. Z., Kadenko, I., Karshon, U., Kaur, P., Klanner, R., Klein, U., Korzhavina, I. A., Kovalchuk, N., Kuze, M., Levchenko, B. B., Levy, A., Löhr, B., Lohrmann, E., Longhin, A., Lorkowski, F., Lunghi, E., Makarenko, I., Malka, J., Masciocchi, S., Nagano, ^ K., Nam, J. D., Onishchuk, Yu., Paul, E., Pidhurskyi, I., Polini, A., Przybycień, M., Quintero, A., Ruspa, M., Schneekloth, U., Schörner-Sadenius, T., Selyuzhenkov, I., Shchedrolosiev, M., Shcheglova, L. M., Sherrill, N., Skillicorn, I. O., Słomiński, W., Solano, A., Stanco, L., Stefaniuk, N., Surrow, B., Tokushuku, K., Turkot, O., Tymieniecka, T., Verbytskyi, A., Abdullah, W. A. T. Wan, Wichmann, K., Wing, M., Yamada, S., Yamazaki, Y., Żarnecki, A. F., Zenaiev, O.
The azimuthal correlation angle, $\Delta\phi$, between the scattered lepton and the leading jet in deep inelastic $e^{\pm}p$ scattering at HERA has been studied using data collected with the ZEUS detector at a centre-of-mass energy of $\sqrt{s} = 318
Externí odkaz:
http://arxiv.org/abs/2406.01430
Autonomous systems, such as self-driving cars, rely on reliable semantic environment perception for decision making. Despite great advances in video semantic segmentation, existing approaches ignore important inductive biases and lack structured and
Externí odkaz:
http://arxiv.org/abs/2405.19921
Autor:
Hawley-Herrera, H., Alfonso-Pita, E., Behnke, E., Bressler, M., Broerman, B., Clark, K., Corbett, J., Dahl, C. E., Dering, K., Croix, A. de St., Durnford, D., Giampa, P., Hall, J., Harris, O., Lamb, N., Laurin, M., Levine, I., Lippincott, W. H., Liu, X., Moss, N., Neilson, R., Piro, M. -C., Pyda, D., Sheng, Z., Sweeney, G., Vázquez-Jáuregui, E., Westerdale, S., Whitis, T. J., Wright, A., Wyman, E., Zhang, R.
The Scintillating Bubble Chamber (SBC) collaboration purchased 32 Hamamatsu VUV4 silicon photomultipliers (SiPMs) for use in SBC-LAr10, a bubble chamber containing 10~kg of liquid argon. A dark-count characterization technique, which avoids the use o
Externí odkaz:
http://arxiv.org/abs/2405.18403
The task of face reenactment is to transfer the head motion and facial expressions from a driving video to the appearance of a source image, which may be of a different person (cross-reenactment). Most existing methods are CNN-based and estimate opti
Externí odkaz:
http://arxiv.org/abs/2404.09736
Foundation models are a strong trend in deep learning and computer vision. These models serve as a base for applications as they require minor or no further fine-tuning by developers to integrate into their applications. Foundation models for zero-sh
Externí odkaz:
http://arxiv.org/abs/2404.06277