万集路侧交通参与者轨迹数据集

万集路侧交通参与者轨迹数据集来源于真实交通场景，融合了多路路侧激光雷达融合点云数据，相机视频数据，高精地图矢量数据。对真实交通场景中每一个交通参与者运动过程的三维信息进行时序数据采样。针对连续帧点云数据，标注包括目标ID，采样时间，目标位置，形状大小，航向角等信息。数据集采集帧率为10Hz，标签信息包含单帧信息及单条轨迹信息两个不同维度，目标信息包括：当前帧编号、轨迹ID、时间戳、类别、x/y/z坐标、长、宽、高、航向角、速度、车道ID、车道中心线距离、车道停止线距离等信息。通过对标签信息的提取、分析，可以获取该路端交通参与者的基本信息和运动情况，赋能多个场景应用。

The Wanji roadside traffic participant trajectory dataset originates from real-world traffic scenarios, integrating multi-channel roadside LiDAR fused point cloud data, camera video data, and high-precision map vector data. It conducts temporal data sampling on the 3D motion information of each traffic participant in real traffic scenarios. For consecutive frame point cloud data, the annotations include target ID, sampling time, target position, shape and size, heading angle, and other relevant information. The dataset has a sampling frame rate of 10 Hz. The label information covers two distinct dimensions: single-frame information and single-trajectory information. The target-specific information includes: current frame index, trajectory ID, timestamp, object category, x/y/z coordinates, length, width, height, heading angle, velocity, lane ID, distance to lane centerline, distance to lane stop line, and more. By extracting and analyzing the label information, the basic attributes and motion states of roadside traffic participants can be acquired, empowering various scenario-based applications.

搜集汇总

数据集介绍

特点

万集路侧交通参与者轨迹数据集是一个来源于真实交通场景的多源融合数据集，包含多路路侧激光雷达点云、相机视频和高精地图数据，标注信息涵盖交通参与者的三维运动信息，适用于微观交通仿真和自动驾驶算法开发验证等多种应用场景。