An Overview of Recent Progress of Lane Detection for Autonomous Driving

Technology breakthroughs and novel ideas proposed by esteemed authors on lane detection systems are summarized in this paper to facilitate autonomous vehicle researchers to understand the concept briefly. The importance of autonomous driving, especially the Advanced driver assistance system (ADAS) and future scope of research are discussed. A high amount of sophistication and accuracy is expected from lane detection systems to prevent road accidents and achieve high automation. A single sensor, algorithm or methodology cannot meet the real-world urban lane expectations due to highly random traffic properties and road constraints. Hence, multiple perception sensors must be integrated at the sensor level, along with the system and algorithm level integration is required to design robust lane detection systems. A generalized lane detection procedure is also discussed for an overview of the detection process. Widely used sensor modalities, their characteristics and applications in ADAS are discussed in detail. A brief introduction to performance evaluation tools is addressed.