SegMam: Multi-Scale Deformable Cross-Mamba Attention With Pseudo-LiDAR From Multi-Camera Depth for BEV Segmentation

Bird’s Eye View (BEV) semantic segmentation serves as a critical perception technology for spatially coherent understanding of complex urban environments from multi-camera inputs in autonomous driving and intelligent transportation systems. While recent Transformer-based methods have demonstr...

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Detalles Bibliográficos

Autores principales:	Junhan Kim, Hankyeol Yu, Kyungjae Ahn, Suyeon Kim, Yeonsik Kang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2026-01-01
Colección:	IEEE Access
Materias:	Bird’s Eye View semantic segmentation selective state space model depth estimation autonomous driving drivable area
Acceso en línea:	https://ieeexplore.ieee.org/document/11570114/
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