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- W4321192644 abstract "In this paper, lane detection technology used as an essential image recognition technology for the autonomous driving has been dealt with. In particular, the possibility of real-time operation during night time in Korean road environments were studied. To this end, in addition to the existing foreign terrain daytime training data, additional training was performed by constructing the dataset during daytime and nighttime in Korean road environments. As a result of the additional training with the additional dataset, it was possible to achieve an accuracy improvement of 92.4 % from 76.9 % accuracy during night time in Korean roads with 10–14 ms operation latency." @default.
- W4321192644 created "2023-02-18" @default.
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- W4321192644 date "2023-01-06" @default.
- W4321192644 modified "2023-09-28" @default.
- W4321192644 title "Real-Time Lane Detection for Korean Road at Night time in Autonomous Driving" @default.
- W4321192644 doi "https://doi.org/10.1109/icce56470.2023.10043513" @default.
- W4321192644 hasPublicationYear "2023" @default.
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