OpenLane-V2

全球首个自动驾驶道路结构感知和推理基准。数据集的首要任务是场景结构感知和推理，这需要模型能够识别周围环境中车道的可行驶状态。 该数据集的任务不仅包括车道中心线和交通要素检测，还包括检测到的对象的拓扑关系识别。

The world's first benchmark for autonomous driving road structure perception and reasoning. The primary task of this dataset is scene structure perception and reasoning, which requires the model to recognize the drivable states of lanes in the surrounding environment. The tasks of this dataset include not only lane centerline and traffic element detection, but also the recognition of topological relationships among detected objects.

搜集汇总

背景与挑战

背景概述

OpenLane-V2是全球首个专注于自动驾驶道路结构感知和推理的基准数据集，包含车道中心线、交通要素检测及拓扑关系识别任务，由上海人工智能实验室发布，适用于3D车道线检测和拓扑识别研究。