• Shubham Kumar Ojha
• Siddharth Kumar
• Mohit Singh
• Mr.Amitabh Srivastava
• Mr.Mohd Shariq Mahboob

: Self-driving cars have been developed by various companies such as Tesla, Audi, and Google, among others. The idea of autonomous cars originated from the increasing number of accidents caused by careless drivers. Our project aims to add a safety feature to vehicles, specifically a lane detection system, to prevent the car from swerving off the road when the driver is not in their senses. This feature can make driving easier and safer for everyone. We have gone through various articles and read papers on the topic to achieve this goal. Many companies and developers are showing interest in this field, and we are excited to be a part of it. We used modern image processing techniques in combination with machine learning models to develop this feature. We utilized OpenCV, a Python library, to achieve our goals. We began with a simple lane detection module based on OpenCV to get our edges and lines in the image detected. However, the most significant challenge was interpreting these lines with the image to make sense of the lanes. To accomplish this, we used slope-intercept methods.

Raspberry Pi 3B+ Board, RaspiCam, Arduino Uno.

"Self Driving Car and Vehicle Data Acquisition System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.i608-i616, May-2023, Available :http://www.jetir.org/papers/JETIR2305904.pdf

"Self Driving Car and Vehicle Data Acquisition System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppi608-i616, May-2023, Available at : http://www.jetir.org/papers/JETIR2305904.pdf