Improve road lane detection by using multiple images with neural networks
Improve road lane detection by using multiple images with neural networks
A Hybrid Spatial-temporal Sequence-to-one Neural Network Model for Lane Detection
DeepAI paper abstract https://deepai.org/publication/a-hybrid-spatial-temporal-sequence-to-one-neural-network-model-for-lane-detection
arXiv PDF paper https://arxiv.org/ftp/arxiv/papers/2110/2110.04079.pdf
Reliable and accurate lane detection is of vital importance for the safe performance of Lane Keeping Assistance and Lane Departure Warning systems.
... under certain challenging peculiar circumstances ... it is difficult to get satisfactory performance in accurately detecting the lane markings from one single image
... Since road markings are continuous ... be better inferred out if information from previous frames is incorporated.
... propose a novel hybrid spatial-temporal sequence-to-one deep learning architecture making full use of the spatial-temporal information in multiple frames ... to detect lane markings
... Treating lane detection as the image segmentation problem, we applied encoder-decoder structures to make it work in an end-to-end way.
... proposed model can effectively handle challenging driving scenes and outperforms previous state-of-the-art methods.
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