Examination and recognition of obstacle in vehicles feasible region

This paper discussed the goal fast recognition algorithm in specific environment with emphasis. Paper applied these algorithms in the vehicles feasible region goal examination and the recognition, computed the influence factor for the goal regarding to vehicles travel, thus carried on the control according to the hypothesis control rule to the vehicles behavior, avoid the vehicles having the collision accident, guaranteed the vehicles security of service. The simulation experiment indicate that, the proposed method has the good compatibility regarding the vehicles feasible region in goal examination, and effectively suppresses the disturbance of the transportation marking, background and light change and so on to the target identification. At the same time, the calculated driving influence factor has been taken into account the obstacle size, with vehicles relative distance and vehicles moving velocity and so on, its value had reflected directly to the driving influence, the physics significance was clear about, so is easy to apply. The experimental result and the actual situation tally extremely, further confirmed our method having the practical value.