2023
DOI: 10.1177/14759217231183656
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Pixel-level detection of multiple pavement distresses and surface design features with ShuttleNetV2

Abstract: Concurrently detecting multiple objects of interest will yield massive time savings in processing and enable a more streamlined and unified detection system. The ShuttleNet is designed to repeat the encoding–decoding round freely or even endlessly, achieving prodigious successes in terms of simultaneous detection of multiple pavement distresses and surface design features on asphalt pavements. This paper proposes an efficient and improved architecture of ShuttleNet called ShuttleNetV2 for enhanced global model… Show more

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Cited by 4 publications
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