May 9, 2022 · In this study, we propose an encoder–decoder architecture based on an attention mechanism. The encoder module is employed to initially extract the lane line ...
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Nov 17, 2022 · This paper proposes a novel semantic segmentation network for lane detection that includes IBN-Net, an attention module, and an encoder-decoder structure ...
[PDF] Research of Lane Detection Method Based on Attention Mechanism
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In view of the slender characteristics of lane lines, an improved spatial attention module is introduced to enhance the ability to extract lane line features.
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Based on this, this paper proposes a lane line detection model that integrates the CBAM attention mechanism and a line anchor feature aggregation module. The ...
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Its network structure is shown in Table 1. The lane line itself has its particularity. First, the shape of the lane line is thin and. long, and the pixel points ...
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Lane line detection based on the codec structure of the attention mechanism ... This study proposes an encoder–decoder architecture based on an attention ...
Oct 4, 2022 · This paper proposes a lightweight lane line detection algorithm based on learnable cluster segmentation and self-attention mechanism, which has extremely fast ...
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In this paper, a novel end-to-end lane detection model combining the advantages of attention mechanism and residual block is proposed to address the problem. A ...
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Nov 20, 2023 · In this study, we propose an effective spatial and channel network aimed at detecting lane marking lines, especially in difficult environments.
Their proposed Lane Detection Network (LDNet) employs an encoder-decoder structure with an Atrous Spatial Pyramid Pooling (ASPP) block and an attention-guided ...
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