Chengzhi Hong

ReManNet: A Riemannian Manifold Network for Monocular 3D Lane Detection

Monocular 3D lane detection remains challenging due to depth ambiguity and weak geometric constraints. Mainstream methods rely on depth guidance, BEV projection, and anchor- or curve-based heads with simplified physical assumptions, remapping high-dimensional image features while only weakly encodin