Rearranged and subdivided track recording of a car within a suburban environment

This dataset contains two track recordings of a car within a German suburban environment in a Cartesian coordinate frame. The car is equipped with a precise and seamless localization framework. The track recording is simplified by means of the Douglas-Peucker algorithm, split into curves of 40 m length, translated such that the initial point is the origin of the coordinate system and rotated such that the first segment has the same orientation as the x-axis.本数据集包含两段在德国郊区环境中采集的车辆轨迹数据，所有数据均采用笛卡尔坐标系（Cartesian coordinate frame）进行表达。该车辆搭载了高精度且无间断的定位架构。所有轨迹数据均通过道格拉斯-普克算法（Douglas-Peucker algorithm）完成简化处理，随后被分割为长度为40米的曲线段；再通过平移操作将轨迹的初始点置于坐标系原点，并经旋转变换使轨迹的首段与x轴方向保持一致。