• Manish Wani
• M Sai Anirudh
• Hrithik Anagire
• Mayur Suryawanshi
• Sinu Nambiar

Autonomous vehicles (AVs), sometimes known as self-driving cars, have the potential to completely replace human-driven autos. AVs can sense their surroundings and even navigate certain roads in situations that humans find problematic. AVs are made up of software, hardware, and people, as well as their interactions. Despite extensive research on AVs, a substantial number of problems remain unresolved. The capacity of AVs to converse with other cars and pedestrians on the road is a significant challenge. Second, people's overreliance on AVs and overconfidence that no failures would occur may have a beneficial or negative impact on society. To guarantee that self-driving vehicles are safe and acceptable by the general public, their capabilities must be adequately analyzed. Because of the inherent complexity of the driving activity, complicated environmental circumstances, and the wide range of potential driving settings, developing exact, objective metrics that capture various elements of safe driving is exceedingly challenging. An effort is made here to investigate the current state-of-the-art technology for the autonomous automobile. It also discusses technical issues, advantages, and problems that must be addressed in order to create a better system that meets the needs of the users. The paper also gives an overview of the proposed system with its architecture and implementation details.

Self-driving cars, Autonomous vehicles (AVs), Object Detection, Simulator

"VIRTUAL SIMULATION OF SELF-DRIVING CAR IN CARLA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.d202-d206, May-2022, Available :http://www.jetir.org/papers/JETIR2205444.pdf

"VIRTUAL SIMULATION OF SELF-DRIVING CAR IN CARLA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppd202-d206, May-2022, Available at : http://www.jetir.org/papers/JETIR2205444.pdf