自动驾驶-复杂城市场景多模态感知与决策数据集

数据集数据来源主要为车企合作方提供原始数据，场景细节包含复杂城市的拥堵路况、交叉路口、雨天/夜间等特殊工况；数据集所属领域为交通运输、智能驾驶；标注方式分为视觉标注数据、激光雷达标注数据、毫米波雷达标注数据以及多模态融合标注数据；数据总存储容量累计为125TB；产出的高质量数据集聚焦自动驾驶领域，为自动驾驶算法优化提供高质量数据支撑。

The raw data of this dataset is primarily obtained from partners of automotive manufacturers. The covered scenarios include complex urban traffic congestion, intersections, rainy and nighttime as well as other special operating conditions. This dataset belongs to the fields of transportation and intelligent driving. Its annotation methods include visual annotation data, LiDAR annotation data, millimeter-wave radar annotation data and multimodal fusion annotation data. The total cumulative storage capacity of the dataset reaches 125 TB. This high-quality dataset focuses on the autonomous driving field, providing high-quality data support for the optimization of autonomous driving algorithms.

搜集汇总

背景与挑战

背景概述

该数据集专注于自动驾驶领域，数据来源于车企合作方，总规模达125TB，涵盖复杂城市场景如拥堵路况、交叉路口及雨天/夜间等特殊工况。它提供多模态感知数据，包括视觉、激光雷达、毫米波雷达标注及融合标注，旨在为自动驾驶算法优化提供高质量支撑。