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Camera-view supervision for bird's-eye-view semantic segmentation

Bird's-eye-view Semantic Segmentation (BEVSS) is a powerful and crucial component of planning and control systems in many autonomous vehicles. Current methods rely on end-to-end learning to train models, leading to indirectly supervised and inaccurate camera-to-BEV projections. We propose a novel me...

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Détails bibliographiques
Auteurs principaux: Bowen Yang, LinLin Yu, Feng Chen
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2024-11-01
Collection:Frontiers in Big Data
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Accès en ligne:https://www.frontiersin.org/articles/10.3389/fdata.2024.1431346/full
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