Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shotaro Koyama"'
Autor:
Ryota Goto, Taichi Horimoto, Shotaro Koyama, Tsubasa Suzuki, Junpei Tsutsumi, Taisei Matsuyama, Masaya Hasegawa, Shigeki Hirobayashi, Kazuo Yoshida
Publikováno v:
IEEE Access, Vol 12, Pp 32349-32360 (2024)
The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to an increased focus on the routine analysis of vital signs such as breathing and pulse rates. Radar technology has proven effective for non-contact, long-term monito
Externí odkaz:
https://doaj.org/article/161342661c26413ba7a2ebc91cf14a59
Autor:
Arsalan Haider, Lukas Haas, Shotaro Koyama, Lukas Elster, Michael H. Kohler, Michael Schardt, Thomas Zeh, Hideo Inoue, Martin Jakobi, Alexander W. Koch
Publikováno v:
IEEE Access, Vol 12, Pp 13020-13036 (2024)
Automated vehicles use light detection and ranging (LiDAR) sensors for environmental scanning. However, the relative motion between the scanning LiDAR sensor and objects leads to a distortion of the point cloud. This phenomenon is known as the motion
Externí odkaz:
https://doaj.org/article/86b3a8bcd1984d218aa3129afbf09ab9
Autor:
Arsalan Haider, Marcell Pigniczki, Shotaro Koyama, Michael H. Köhler, Lukas Haas, Maximilian Fink, Michael Schardt, Koji Nagase, Thomas Zeh, Abdulkadir Eryildirim, Tim Poguntke, Hideo Inoue, Martin Jakobi, Alexander W. Koch
Publikováno v:
Sensors, Vol 23, Iss 15, p 6891 (2023)
In this work, we introduce a novel approach to model the rain and fog effect on the light detection and ranging (LiDAR) sensor performance for the simulation-based testing of LiDAR systems. The proposed methodology allows for the simulation of the ra
Externí odkaz:
https://doaj.org/article/d1b8ea67755c46699b94899967f7df06
Autor:
Arsalan Haider, Yongjae Cho, Marcell Pigniczki, Michael H. Köhler, Lukas Haas, Ludwig Kastner, Maximilian Fink, Michael Schardt, Yannik Cichy, Shotaro Koyama, Thomas Zeh, Tim Poguntke, Hideo Inoue, Martin Jakobi, Alexander W. Koch
Publikováno v:
Sensors, Vol 23, Iss 6, p 3113 (2023)
Measurement performance evaluation of real and virtual automotive light detection and ranging (LiDAR) sensors is an active area of research. However, no commonly accepted automotive standards, metrics, or criteria exist to evaluate their measurement
Externí odkaz:
https://doaj.org/article/b879b413286b45c6bab6777b57f431c0