The invention discloses a vehicle trajectory optimization method based on a moving average algorithm, and provides a solution which comprises the following steps: firstly, processing received GPS databy using a moving average algorithm, and filtering noise points with abnormal positioning; and then thinning the denoised data by using a Douglas-Peucker algorithm, and redundant data are eliminatedunder the condition of ensuring that a trajectory curve is approximately unchanged, so that the trajectory curve can be smoother, and the storage space can be saved. In the running process of a vehicle, due to the influence of the multipath effect and other complex environments, received GPS data contain noisy points, and a formed track cannot express an original running route of the vehicle. According to the method, redundant data are eliminated under the condition that the track curve is approximately unchanged, so that the track curve can be smoother, and the storage space can be saved. Experimental results show that the method effectively removes noisy points and redundant nodes, saves storage space, and is obvious in trajectory optimization effect.
本发明公开了一种基于滑动平均算法的车辆轨迹优化方法,提出一种解决方案:首先将接收到的GPS数据用滑动平均算法进行处理,对定位异常的噪点进行过滤;然后用道格拉斯‑普克算法对去噪之后的数据进行抽稀,在保证轨迹曲线大体不变的情况下将多余的数据剔除,不仅可以让轨迹曲线更平滑,而且可以节省存储空间。车辆在行驶过程中,由于多路径效应和其他复杂环境的影响,接收到的GPS数据都会含有噪点,导致形成的轨迹不能表达车辆的原始行驶路线。本发明在保证轨迹曲线大体不变的情况下将多余的数据剔除,不仅可以让轨迹曲线更平滑,而且可以节省存储空间。实验结果表明:该方法有效的去除了噪点和冗余节点,节约了存储空间,轨迹优化效果明显。
Vehicle trajectory optimization method based on moving average algorithm
一种基于滑动平均算法的车辆轨迹优化方法
2021-02-19
Patent
Elektronische Ressource
Chinesisch
Europäisches Patentamt | 2021
|Vehicle control method based on obstacle moving trajectory prediction
Europäisches Patentamt | 2022
|Improved Gradient-Based Algorithm for Solving Aeroassisted Vehicle Trajectory Optimization Problems
Online Contents | 2017
|Improved Gradient-Based Algorithm for Solving Aeroassisted Vehicle Trajectory Optimization Problems
Online Contents | 2017
|