2023
DOI: 10.1109/tcsvt.2023.3271275
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Dense Hybrid Proposal Modulation for Lane Detection

Abstract: In this paper, we present a dense hybrid proposal modulation (DHPM) method for lane detection. Most existing methods perform sparse supervision on a subset of high-scoring proposals, while other proposals fail to obtain effective shape and location guidance, resulting in poor overall quality. To address this, we densely modulate all proposals to generate topologically and spatially high-quality lane predictions with discriminative representations. Specifically, we first ensure that lane proposals are physicall… Show more

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Cited by 6 publications
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References 58 publications
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