摘要
为了得到更精确的道路坡度值,文章提出了一种基于特征点采样和曲线拟合的道路坡度计算方法。该方法对待测量坡度的道路进行路段划分,对每个路段的样本点进行拟合,生成待测量坡度的道路的拟合曲线并划分网格。将每个网格内样本点的坡度均值作为网格坡度值,最后确定每个网格的坡度方向。本处理方法使得汽车的控制系统能够获得整条道路每个位置上的坡度值,继而可以将这条道路的坡度值进行后续的存储和应用。
This paper proposes a road slope data processing method based on feature point sampling and curve fitting.First,we collect data for the road to be measured,and obtains sample points.The sample points are used to compose the track map of the test vehicle,and then the road segments on the track map are divided.We fit the sample points of each road segment,generate the curve of the road to be measured and divide girds.The average slope of the sample points in each grid is considered as the grid slope value.Last,the slope direction of each grid is determined.In this paper,the vehicle control system can obtain accurate road slope value at each position of the whole road by processing the collected data,and then the slope value of this road can be stored and applied in the future.This paper also provides a basis for future research.
作者
王宇
王淼
Wang Yu;Wang Miao(School of Mechanical,Electronic and Control Engineering,Beijing Jiaotong University,Beijing 100044;CCCC Highway Consultants Co.,Ltd.,Beijing 100088)
出处
《汽车实用技术》
2019年第14期131-134,共4页
Automobile Applied Technology
关键词
道路坡度
特征点采样
曲线拟合
Road slope
Feature point sampling
Curve fitting
