Autonomous vehicles have limited computational resources; hence, their control systems
must be efficient. The cost and size of sensors have limited the development of self-driving …

In this paper, a model predictive control lanekeeping system of an autonomous vehicle is
proposed. The control algorithm was tested experimentally on a laboratory scaled model of …

This paper presents a new hybrid control approach for vision-based navigation applied to
autonomous robotic automobiles in urban environments. It is composed by a visual servoing …

Unmanned aerial vehicles (UAVs) becoming more and more common. They show excellent
potential for multiple types of autonomous work, although they must achieve these tasks …

With increasing computational power and a vast amount of data to work with, deep learning
has risen to prominence since the 2010s. Numerous applications are being researched and …

Researchers have been attempting to make the car drive autonomously. Environment
perception, together with safe guidance and control, is an important task and is one of the …

The development of autonomous vehicles capable of getting around on urban roads can
provide important benefits in reducing accidents, in increasing life comfort and also in …

Intelligent transport is now a vital facilitator of the smart city concept, with navigation serving
as a crucial component. Recently, software as well as hardware research have focused a lot …

There has been an increased trend in the use of Unmanned Aerial Vehicles (UAVs)
providing essential assistance and enhanced situational awareness in various application …

The term" artificial intelligence" refers to a machine intelligence tool which opens up vast
possibilities for the" smart industrial revolution." It makes it easy to gather the relevant …