Open AccessLow Cost Autonomous Driving Architecture using Ultrasonic Sensors and Camera
Author(s) -
Siyamalan Manivannan,
R. Jagadeesh Kannan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/925/1/012037
Subject(s) - porting , computer science , lidar , architecture , android (operating system) , real time computing , ultrasonic sensor , automotive engineering , embedded system , engineering , remote sensing , art , software , visual arts , programming language , geology , operating system , physics , acoustics
The existing autonomous vehicles cost are very high due to inclusive of various range of LIDAR, RADAR and multiple cameras for autonomous features. The proposed autonomous vehicles can operate at low speed with limited sensors which will cut the cost by half. The purpose of this research is to make an auto driven platform, which can be ported in any electric vehicles. The prototype also has features including a safety system, control panel, route recognition, android device assistance, Wi-Fi, & battery updates. Our study findings are carefully analysed. This leads to less emissions of the electric vehicle powered by man.