Advancement of driverless cars and heavy vehicles using artificial intelligence (Object detection)

Citations of this article
Mendeley users who have this article in their library.
Get full text


Autonomous car or driverless car or Self driving car, if we put in a simpler language is a car which can drive without any human controlling it from inside. It is going to be a revolutionary change in the world of technology. Autonomous vehicle has many external sensors connected to it. By these external sensors it perceived or sense the environment and make decision accordingly. We refer these external sensors as Advance control Systems. Autonomous cars have various advantages over manual cars like fewer traffic accident, smart decision making just to name a few. So, the question is why driverless cars still not succeeded yet. The answer of the question lays on threats like cybercrime, or failure of the software and importantly how they are going to coup up with the manual cars running on roads because fully automation era is still a long road to go. Their main aim is to first overcome these barriers. We have some recent technologies like Anti braking system (ABS), cruise control that can be referred as early stage development for autonomous vehicle. IN this article we going to discuss about the detection codes which will make use of perceived environment given by sensors as input in return will give vehicle information about different type of objects present on the roads. We firmly believe that autonomous vehicle will be reality soon as soon as they overcome barriers of it.




Chelliah, B. J., Chauhan, V., Mishra, S., & Sharma, V. (2019). Advancement of driverless cars and heavy vehicles using artificial intelligence (Object detection). International Journal of Engineering and Advanced Technology, 9(1), 6183–6186.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free