The article deals with the problem of controlling an unmanned vehicle in real time. We
trained a convolution neural network (CNN) to display raw pixels from a single front camera …

This research is devoted to the development of complex multi-level control system for robotic
vehicle Niva. This system implements computer vision algorithms for road lane recognition …

The purpose of this paper is to build an autonomous RC Car that uses Artificial Neural
Network (ANN) for control. It describes the theory behind the neural network and …

In this paper road marking recognition based on computer vision technology is considered.
This system provides autonomous motion in public road of mobile robot that has kinematics …

Human performance is prone to error in case of taking optimal decision on driving issues. It
is due to the lack of concentration or because of some faulty characteristics of human nature …

For an unmanned vehicle, in difficult conditions, when spatial constraints seriously narrow
the space of admissible states, the strategy of choosing a state space is more effective than …

In recent years, there has been substantial research scope for Autonomous Unmanned
Ground Vehicles (AUGV) which is a burning topic for researchers and scientists. The …

In this paper, a method for Autonomous Vehicle is presented based on real time image
processing. The system detects the road by sobel edge detection, and it recognizes the …

Running control software on limited computing resources is considered one of the toughest
problems. In this study, an autonomous driving software has been developed that can safely …

The questions of the practical implementation of the mobile robot intelligent control in
dynamic environment when it performs a mission of tracking a moving object are …