基于差分法的道路上下坡识别

Road Uphill and Downhill Slope Identification Based on Difference Method

在商用车大数据研究领域,通常需要基于后台数据分析车辆长上坡和长下坡时的运行工况、车辆性能、油耗、驾驶习惯等。因此,如何精准地将车辆运行轨迹中的上下坡识别出来至关重要。论文提出一种基于差分法的道路上下坡识别方法,首先,使用中值滤波法对车辆采集的GPS数据(经度、纬度、海拔)进行数据平滑去噪,然后通过一阶差分法对海拔数据进行上下坡识别,最后对上坡,平路,下坡段进行优化,标记,提取,得到了区分度较好的上下坡。

In the field of commercial vehicle big data research,it is usually necessary to run the operating time based an background data to analyze the long slope and long downstream of the vehicle’s conditions,performance,fuel consumption,driving habits,etc.Therefore,how to accurately identify the up and down slopes in the vehicle's running track is crucial.This paper proposes a road-based slope recognition method based on the difference method.Firstly,the media data filtering method is used to smooth the data(GPS)(longitude,latitude,altitude)collected by the vehicle,then apply the first-order difference method to identify the ups and downs of the altitude data,and finally optimize the uphill,flat road,and downhill sections,transform,mark,extract,get up and down slop with better discrimination.