Autonomous Vehicles Using OpenCV and Python With Wireless Charging

Abstract

The recent developments toward self-driving vehicles combined with advancement in electric vehicle technology have facilitated commencement of fully autonomous electric vehicles with respect to operation and energy requirements. Autonomous technology is about enriching automated systems with sensors, artificial intelligence (AI) and analytical capabilities so that decisions based on the data collected are independent. In autonomous vehicles, vision continues to be the primary source of data for lane detection, traffic signal detection, and other visual feature detection. Image classification and image localization are the two phases involved in object detection. An automobile prototype is designed which consists of open computer vision (Open CV) installed on a raspberry pi that can sense lane markings and navigate for safe driving. A demonstration of lane detection, color and shape detection using the open cv library has been produced in response to the issues autonomous vehicles that have object detection.