This paper introduces an innovative 3D lane detection method that addresses the challenges of lane detection in autonomous driving.

Refinement Bird's Eye View Feature for 3D Lane Detection with Dual-Branch View Transformation Module ; Session: MLSP-P29: Pattern Recognition and Classification ...

ABSTRACT. Detecting 3D lane lines from images is a fundamental challenge and an ill-posed problem in autonomous driving. Existing methods are.

Refinement Bird's Eye View Feature for 3D Lane Detection with Dual-Branch View Transformation Module ... 3D Lane Shape and Camera Pose from a Single Image ...

Article on Refinement Bird's Eye View Feature for 3D Lane Detection with Dual-Branch View Transformation Module, published in on 2024-04-14 by Hao Ren+5.

View · Refinement Bird's Eye View Feature for 3D Lane Detection with Dual-Branch View Transformation Module. Conference Paper. Apr 2024. Hao Ren · Mingwei Wang ...

Jun 23, 2024 · We propose to learn multi-modal features in dual-view spaces, i.e., perspective view (PV) and bird's-eye-view (BEV), effectively leveraging the ...

This is a repository for Bird's Eye View Perception, including 3D object detection, segmentation, online-mapping and occupancy prediction.

This work proposes an efficient and robust monocular 3D lane detection called BEV-LaneDet with three main contributions, including the Virtual Camera that ...

Jun 5, 2024 · In this study, we propose Topo2D, a novel framework based on Transformer, leveraging 2D lane instances to initialize 3D queries and 3D positional embeddings.