• Bhagya Shree N
• Dr. Krishnareddy K R
• Prof. Ramesh B E
• Dr. Aravinda T V
• Rohit

Abstract—The integration of robotics and artificial intelligence (AI) has revolutionized the automotive industry, particularly in the development of autonomous vehicles. This project proposes a novel robotic model for an autonomous car, leveraging advanced AI techniques to enhance navigation, decision-making, and overall safety. These models enable the car to recognize and interpret complex traffic scenarios, pedestrian movements, and road signs. Deep neural networks process sensor data to make informed decisions, such as route planning, obstacle avoidance, and adaptive control. The project aims to contribute to the ongoing advancements in autonomous vehicle technology, showcasing the potential of combining robotic models with state-of-the-art AI to create a reliable and safe autonomous driving experience. The results from simulations and real world testing shall demonstrate the effectiveness of the proposed system in achieving accurate navigation, efficient decision-making, and enhanced overall performance in autonomous driving scenarios.

Keywords—Self-driving car, real-time navigation, convolutional neural network, lane detection, Signal detection, Stop sign detection, machine learning, monocular vision.

"Robotic Model for Autonomous Car based on AI ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.h471-h477, April-2024, Available :http://www.jetir.org/papers/JETIR2404756.pdf

"Robotic Model for Autonomous Car based on AI ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. pph471-h477, April-2024, Available at : http://www.jetir.org/papers/JETIR2404756.pdf