Autonomous navigation is important not only in autonomous cars but also in other transportation systems.In many applications, an autonomous vehicle has to follow the curvature of a real or artificial road or in other words lane lines.In those application, the key is the lane detection.
In Acteoside and ursolic acid synergistically protects H2O2-induced neurotrosis by regulation of AKT/mTOR signalling: from network pharmacology to experimental validation this paper, we present a real-time lane line tracking algorithm mainly designed to mini vehicles with relatively low computation capacity and single camera sensor.The proposed algorithm exploits computer vision techniques in combination with digital filtering.To demonstrate Messengers in the Creative Work of Journalists the performance of the method, experiments are conducted in an indoor, self-made test track where the effect of several external influencing factors can be observed.
Experimental results show that the proposed algorithm works well independently of shadows, bends, reflection and lighting changes.