A Methodology to Model the Rain and Fog Effect on the Performance of Automotive LiDAR Sensors

Benutzer: Gast

Titel:: A Methodology to Model the Rain and Fog Effect on the Performance of Automotive LiDAR Sensors
Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Haider, Arsalan ; Pigniczki, Marcell ; Koyama, Shotaro ; Köhler, Michael H. ; Haas, Lukas ; Fink, Maximilian ; Schardt, Michael ; Nagase, Koji ; Zeh, Thomas ; Eryildirim, Abdulkadir ; Poguntke, Tim ; Inoue, Hideo ; Jakobi, Martin ; Koch, Alexander W.
Stichworte:: Article ; LiDAR sensor ; rain ; fog ; sunlight ; advanced driver-assistance system ; backscattering ; Mie theory ; open simulation interface ; functional mock-up interface ; functional mock-up unit
Zeitschriftentitel:: Sensors
Jahr:: 2023
Band / Volume:: 23
Heft / Issue:: 15
Volltext / DOI:: doi:10.3390/s23156891
Verlag / Institution:: MDPI
E-ISSN:: 1424-8220
Publikationsdatum:: 03.08.2023
CC-Lizenz:: by, https://creativecommons.org/licenses/by/4.0

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