MultiFunctional autonomous car using IoT
Theerthashree N P, Dhanya K, Chandana S, Chandana , KAVITA V.HORADI
Deep learning, sensors technology, CNN, image processing, sound information technology open CV ,Yolo V3.
Smart cars that are predicted to be driverless, most effective, and accident avoidance will be autonomous vehicles.To achieve this goal, some work has to be done in this area to realize the problems and overcome the obstacles that are currently faced in this area. According to this, the first task would be to understand the major problem behind this and to adapt new technology and skills into normal vehicles in order to transform them into the future autonomous vehicle. This paper tells about the transformation of normal automobiles into autonomous vehicles through the adoption and application of several emerging technologies. Included in this are the goals of autonomous cars and the challenges associated with their execution. Various kinds of sensors are used such as like ultrasonic and infrared sensors in order to avoid obstacle detection,line following and hand gestures which would reduces accidents caused by human beings. Arduino Uno is a microcontroller used here that receives signals from a particular used sensors.This would bring a low cost-effective and also avoid accidents.
Article Details
Unique Paper ID: 158945

Publication Volume & Issue: Volume 9, Issue 11

Page(s): 46 - 51
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