Phantom Track Study 2024\/25
收藏IEEE2026-04-17 收录
下载链接：
https://ieee-dataport.org/documents/phantom-track-study-202425
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资源简介：
Phantom tracks are anomalies on the road surface that could be detected by sensor systems of automated vehicles as valid road markings. The dataset was created through a study in 2024\/25 and features two elements: 1) Data of an expert survey for the prevalence and crticiality of phantom tracks, incl. the original questionnaire; 2) Image data for a specific type of phantom tracks (i.e., light shining trough double guard rails), incl. Python code for the setup of the lane detection model
提供机构：
Niklas Pfahl; Nico Kiefer; Nils Katzorke; Nathanael Joshua Schweigert
