ELAS 车道检测数据集

ELAS 是一个用于车道检测的数据集。该数据集包含 20 多个不同的场景（超过 15,000 帧），并考虑了各种场景（城市道路、高速公路、交通、阴影等）。该数据集对研究界感兴趣的几个事件进行了人工标注（即车道估计、变化和居中；道路标记；交叉口；LMTs；人行横道和相邻车道）。

ELAS is a dataset dedicated to lane detection. It contains over 20 distinct scenarios and more than 15,000 frames, covering various road scenarios including urban roads, highways, traffic conditions, shadows, and more. Several events of interest to the research community have been manually annotated in this dataset, specifically lane estimation, variation and centering; road markings; intersections; LMTs; crosswalks and adjacent lanes.

搜集汇总

背景与挑战

背景概述

ELAS是一个专用于车道检测的数据集，包含超过15,000帧图像，覆盖20多个不同场景，如城市道路和高速公路，并提供了车道估计、道路标记等事件的人工标注。