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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I apply innovative technologies like machine learning, computer vision, and physics to further an organization's goals. Am recognized innovator with 66 patents.