Abstract:
The object is a process for detecting the road conditions ahead for a motor vehicle, in which the vehicle's own speed is detected and the position and speed of objects ahead are detected by fixed search aerial directed ahead via radar sensors, permitting easy detection of the road conditions ahead by the special assessment of position and speed data. The roadside-specific targets are filtered out from the fixed targets by threshold comparison of the fixed target amplitudes, and the current distances between the vehicle and the roadside are determined in discrete angular regions by ordering filtration. The roadside distances estimated for each angular region are taken to a classifier as characteristics for the prediction of the type of curve ahead and used as supporting values for a curve regression to obtain a curvature parameter.