美国地图与自动驾驶数据集

<p>包括高清 （HD） 地图和两个开源自动驾驶数据集，其中包含 113 个场景的 3D 跟踪注释以及从 1000 多个驾驶小时中提取的 324557 条车辆轨迹。美国Argo AI地图与自动驾驶数据集</p><p>数据来源：公开网站<a href="https://www.argoverse.org/av1.html" rel="noopener noreferrer" target="_blank">https://www.argoverse.org/av1.html</a></p><p>数据规模：113 个场景的3D跟踪标注及324557条车辆轨迹</p><p>数据特点：用于 CVPR 2024 自动驾驶大挑战赛的端到端驾驶和预测世界模型轨道的大规模数据集。</p><p>应用场景：自动驾驶汽车训练</p>

<p>Consists of high-definition (HD) maps and two open-source autonomous driving datasets, which contain 3D tracking annotations for 113 scenarios and 324,557 vehicle trajectories extracted from over 1,000 driving hours. It is the U.S.-based Argo AI map and autonomous driving dataset.</p><p>Data Source: Public website <a href="https://www.argoverse.org/av1.html" rel="noopener noreferrer" target="_blank">https://www.argoverse.org/av1.html</a></p><p>Data Scale: 3D tracking annotations for 113 scenarios and 324,557 vehicle trajectories</p><p>Data Characteristics: A large-scale dataset tailored for the end-to-end driving and predictive world model track of the CVPR 2024 Autonomous Driving Grand Challenge.</p><p>Application Scenarios: Autonomous vehicle training</p>