In this work, an image processing based lane-detection approach is proposed. In the proposed approach, candidate pixels that can be used for lane markings are detected by making use of 1-bit transform as a pre-processing step. Next, feature points are extracted via Sobel filter and candidate lane markings are decided employing a correlation and Hough transform based approach. Finally, Kalman filter is utilized to exploit temporal correlation of lane markings in successive frames. Experimental results show that the proposed approach provides similar or better lane detection performance compared to some recently presented methods while having real-time processing capability.