Review on Lane Detection Techniques

Review on Lane Detection Techniques

Sandeep Singh Kang, Narinder Yadav, Utsav Mallik, Bardan Kumar Shah, Subham Sah

Computer Science and Engineering. Chandigarh University. Punjab, India

Abstract—Lane detection in current automobiles is extremely popular; it has become an inseparable part of the vehicle’s set, as it is considered indispensable nowadays to prevent an accident and limit the risk of injury or even death on the road. This review article addresses some of the different systems of line measuring features and characteristics, strengths, and weaknesses. This article starts by reviewing the literature and showing the different methods, methods, and techniques that are employed in the research line. Then, it continues with the description of the main elements of the search line, such as camera, image processing algorithms, and alerts, regarding the variety of functions that may be embodied in a line lane search, such as lane departure warning, cruise control, and automatic emergency braking. Compared the advantages and disadvantages of various camera, radar-based and lidar-based line search methods and set a comparison of accuracy, reliability, cost, and performance in different driving styles. In this report, it also discusses challenges and limitations of line calling like bad weather conditions, road signs, and poor performance, along with the risks and disadvantages of over-reliance on lane detection of the vehicles.

Index Terms—Lane detection, reliability, robustness, semantic splitting, effectiveness