• Rangaswamy y
• Nischitha M S
• Vathsalya S N
• Vedha A
• Rammuanpuia C

This paper focuses on developing an autonomous car designed to navigate safely and intelligently, minimizing human errors. Utilizing a Raspberry Pi-based system, the car can detect obstacles and traffic signals, making real-time decisions to stop or continue based on the processed data. A cloud platform supports the system by enabling real-time training and enhancing decision-making models. The car's processor is trained to differentiate between green and red traffic signals using a large dataset. Key algorithms in perception, control, localization, and recognition are integral to the system, ensuring accurate and reliable autonomous navigation. This paper showcases significant advancements in autonomous vehicle technology, aiming to improve road safety and efficiency.

Lane detection, Object detection, Traffic sign, Signal detection, CNN, Imageprocessing.

"Self-Driving Autonomous Car Based on Raspberry Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.q58-q64, May-2024, Available :http://www.jetir.org/papers/JETIR2405H11.pdf

"Self-Driving Autonomous Car Based on Raspberry Pi", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppq58-q64, May-2024, Available at : http://www.jetir.org/papers/JETIR2405H11.pdf