Self driving car: using openCV Library and Python

Self driving car: using openCV Library and Python
Author(s):
Astha Singh , Yash Bhadreshwara , Aditya Deshpande , Shivam Mane, Dhanashri Pannase
Keywords:
Open CV, Machine Learning, Raspberry pi, Lane Detection, Object Detection, Canny Edge Detection.
Abstract
The project uses the most recent OpenCV and Machine Learning technology to simulate a prototype of a self-driving car with monocular vision. Self-driving cars are autonomous vehicles that would reduce the need for human involvement, lowering the danger of accidents, and improving the safety, comfort, and accessibility of transportation. The car model will have the ability to recognise the lane path, sign boards, traffic light signals, and react to moving traffic in real time. The Raspberry Pi central processing unit, in conjunction with peripherals like the, L298 H-Bridge, and Raspberry Pi Cam2, is what gives our car the appropriate level of control. To give the car the necessary functionalities, computer vision is combined with algorithms like lane detection and object detection.
Article Details
Unique Paper ID: 159204 Publication Volume & Issue: Volume 9, Issue 11 Page(s): 545 - 549
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