Development Of Vehicular Technologies Research Articles

Intelligence of Autonomous Vehicles: A Concise Revisit

Artificial intelligence- (AI-) empowered machines are devised to mimic human actions. In the automotive industry, AI plays a significant role in the development of vehicular technology. AI joins hands with the field of mechatronics to assist in the accurate execution of the vehicle functionalities. Autonomous vehicles get the scene information by using onboard sensors such as laser, radar, lidar, Global Positioning System (GPS), and vehicular communication networks. The data obtained is then used for various path planning and control techniques to make the vehicles capable of autonomously driving in complex environments. Autonomous vehicles use very up-to-date AI algorithms to localize themselves in known and unknown environments. AI algorithms are also exploited for perception, path planning, and motion control. A concise review of the state-of-the-art techniques to improve the performance of autonomous vehicles is presented.

A review of data management and protocols for vehicular networks

In recent years, with the development of vehicular technology, vehicular communication has increasingly become a crucial and rising area. Creating an accident-free environment is the foremost goal of taking a real interest in this new research field. Some progress has been made in this area, new architectures, protocols and implementations of Vehicular Ad Hoc Network (VANET) have been made to supply Intelligent Transportation Services (ITS). The vehicle-to-vehicle communications play a vital role in vehicular networks, so we present a comprehensive overview of data management in this paper in order to explore the present research status with its main problems in vehicular communication. We describe the protocol of vehicular networks and the various types of data managed in that environment, also we analyse the challenges we face right now.