May 27, 2023 · This paper proposes a real-time lane detection network (TSA-LNet) that incorporates a lightweight network (LNet) and a two-directional separation attention ( ...

Feb 23, 2024 · The attention mechanism greatly enhances real-time performance and detection accuracy. The LNet uses a symmetry layer to achieve a drastic ...

This paper proposes a real‐time lane detection network (TSA‐LNet) that incorporates a lightweight network (LNet) and a two‐directional separation attention (TSA) ...

This article aimed to design an efficient and lightweight network that can simultaneously meet the real-time requirements and detection accuracy for lane line ...

This paper presents a lane detection technique based on deep learning. It is combined with a 3D convolutional network, so the temporal information is added to ...

A real-time lane detection network using two-directional separation attention. Comput. Aided Civ. Infrastructure Eng. 39(1): 86-101 (2024). [j4]. view.

In this paper, a spatio-temporal network with double Convolutional Gated Recurrent Units (ConvGRUs) is proposed to address lane detection in challenging scenes.

Oct 9, 2023 · Segmentation Approaches for Lane Line Detection. The first and most popular way to detect lane lines is by using image segmentation. It's ...

Aug 15, 2024 · TSA-LNet [10] utilizes Two-directional Separation Attention (TSA) to infer attention maps along both horizontal and vertical directions, ...

A real‐time lane detection network using two‐directional separation attention · Computer Science, Engineering. Comput. Aided Civ. Infrastructure Eng. · 2024.