• Tarun Prasanna
• Tejashree A
• Sushmitha Raju R
• Govinda Raju M

The rise of artificial intelligence has ignited a wave of technological innovations, leading to ideas that were once thought impossible. A prime example is the creation of autonomous cars, or self-driving vehicles, designed to navigate between locations without human intervention. These cars can perceive their surroundings and navigate independently, although they still rely on human oversight. Their functionality hinges on advanced control systems that analyze sensor data and differentiate between various vehicles on the road. Autonomous vehicles promise reduced transportation and infrastructure costs, enhanced safety, improved convenience, greater customer satisfaction, and decreased crime rates. However, the software that drives these self-driving cars requires extensive testing. Conducting tests in real traffic can be both dangerous and costly, with some incidents resulting in fatalities. A safer and more manageable alternative is virtual testing, where the software for self-driving cars is evaluated through computer simulations. Nevertheless, developing suitable test scenarios can be challenging and time-consuming. In this study, we integrate procedural content generation—a method often used in contemporary video games—with search-based testing, a technique that has proven effective in various domains, to automatically create complex virtual environments for evaluating software for autonomous vehicles.

LiDAR, Convolutional Neural Network (CNN), Computer Vision, ADAS, Sensors, Lane detection, Path Detection Algorithms, Decision-Making Algorithms.

"Study on Autonomous Driving System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.h492-h498, March-2025, Available :http://www.jetir.org/papers/JETIR2503761.pdf

"Study on Autonomous Driving System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. pph492-h498, March-2025, Available at : http://www.jetir.org/papers/JETIR2503761.pdf