Analysis of Unstructured Road Information Recognition Methods for Unmanned Vehicles

At present, the unstructured road recognition degree of driverless vehicles is relatively low, which makes it difficult to guarantee the hidden danger of driving safety. Algorithm to solve the above problems, combined with color information recognition for the unstructured road grey value is calculated, thus effectively to obtain body boundary pixels of unstructured road and the road gray characteristic parameters, and according to the calculation results of unstructured road recognition method is optimized, using gray parameter characteristics of the unstructured road gray orthogonal method for optimization, in order to realize the unmanned vehicle the ultimate goal of unstructured road information identification. Finally, experimental results show that compared with the traditional road information recognition method, the unstructured road information recognition method combined with color information recognition algorithm has higher recognition degree and more stable operation.