Electric Vehicle Speed Control with Traffic sign Detection using Deep Learning

Abstract

The prime focus is mainly on e-Vehicles ADAS which will be a future mode of transportation. Road accidents are the major cause of death. The main issues that cause road accidents are ignorance of traffic rules and improper traffic rules following. Where traffic rules have two types traffic signboards and traffic signals. The proposed system, Traffic Sign Detection along with Electric Vehicle Speed Control using Deep Learning and CAN protocol will help assist the driver and reduce the road accidents caused by traffic rules ignorance. In this system, a camera is fixed in the vehicle windshield that captures the traffic signs on the roads. The camera sensor will send an image as a signal to ADAS/AD ECU through Ethernet wire where the captured image undergoes processing and is identified using the Deep Learning CNN technique in ADAS/AD ECU Microcontroller. Then, the ADAS/AD ECU tells the Transmission ECU to reduce the current speed to a specific speed and also to Cluster ECU to display an alert message to the driver in the cluster display using CAN protocol.