智驾生成式数据集

生成式智驾数据集以车端采集的视频、激光雷达点云等真实数据为基础，通过训练基于世界模型的全生成式 AI 算法，按需生成极端天气、异形车辆、复杂道路施工等各类罕见长尾场景数据。数据集覆盖多模态数据类型，包含视频流、点云数据、图像、结构化车辆状态参数及场景描述文本，数据物理一致性强、场景真实性高，可直接用于智能驾驶模型训练与仿真测试，有效填补了传统路测数据中长尾场景不足的行业空白。

The Generative Intelligent Driving Dataset is built on real-world data collected by on-board sensors, including videos, LiDAR point clouds and other modalities. It trains a fully generative AI algorithm based on world models to generate on-demand rare long-tail scenario data such as extreme weather, atypical vehicles, complex road constructions and other similar rare cases. The dataset covers diverse multi-modal data types, including video streams, point cloud data, images, structured vehicle state parameters and scenario description texts. Featuring strong physical consistency and high scene authenticity, the data can be directly applied to intelligent driving model training and simulation testing, effectively filling the industry-wide gap of insufficient long-tail scenarios in traditional road test data.

搜集汇总

背景与挑战

背景概述

该数据集利用生成式AI技术，基于车端真实数据生成极端天气、异形车辆等罕见长尾场景的多模态数据，包括视频、点云、图像等类型。其数据物理一致性强、场景真实性高，可直接用于智能驾驶模型的训练与仿真测试，有效弥补传统路测数据在长尾场景上的不足。