Challenges of YOLO Series for Object Detection in Extremely Heavy Rain: CALRA Simulator based Synthetic Evaluation Dataset

no code implementations • 13 Dec 2023 • T. Kim, H. Jeon, Y. Lim

Recently, as many studies of autonomous vehicles have been achieved for levels 4 and 5, there has been also increasing interest in the advancement of perception, decision, and control technologies, which are the three major aspects of autonomous vehicles.

Autonomous Vehicles object-detection +1

Slow control and monitoring system at the JSNS$^{2}$

no code implementations • 4 May 2020 • J. S. Park, H. Furuta, T. Maruyama, S. Monjushiro, K. Nishikawa, M. Taira, J. S. Jang, K. K. Joo, J. Y. Kim, I. T. Lim, D. H. Moon, J. H. Seo, C. D. Shin, A. Zohaib, P. Gwak, M. Jang, S. Ajimura, T. Hiraiwa, T. Nakano, M. Nomachi, T. Shima, Y. Sugaya, M. K. Cheoun, J. H. Choi, M. Y. Pac, T. Dodo, Y. Hino, F. Suekane, R. Ujiie, M. Harada, S. Hasegawa, Y. Kasugai, S. Meigo, K. Sakai, S. Sakamoto, K. Suzuya, J. R. Jordan, J. Spitz, E. Marzec, M. Botran, T. Kawasaki, T. Konno, H. I. Jang, S. K. Kang, E. J. Kim, H. Seo, S. Y. Kim, W. Kim, M. Niiyama, S. J. M. Peeters, H. Ray, C. Rott, I. Yu, H. Jeon, S. Jeon, D. Jung, S. B. Kim, E. Kwon, D. H. Lee, I. Stancu, M. Yeh

The JSNS$^2$ experiment is aimed to search for sterile neutrino oscillations using a neutrino beam from muon decays at rest.

Instrumentation and Detectors