In this paper, we propose the implementation of an autonomous navigation system for
quadcopter UAVs through a trajectory established by GPS as a setpoint, where the control …

2004 DARPA Grand Challenge. Since these competitions, fully autonomous vehicles have
become much closer to significant real-world use with the majority of research focused on …

The article considers one of the aspects of the situational awareness problem for control
systems of unmanned vehicles. We interpret this problem as getting information about the …

The adapting of lateral deviation during the change of road curvature with less error, system
settling time, and overshoot is the main challenge against the steering angle control of …

This work presents a vision based security robot perception and control strategy for semi-
structured and unstructured roads navigation. The main contributions contain deep learning …

This study is an overview of autonomous cars and also the challenges faced in the field of
autonomous cars. Recent advances are being made in the field of planning, perception, and …

Obstacle avoidance path planning is a key technology for autonomous vehicles in
identifying obstacles and avoiding obstacles, which is of great significance to the …

The autonomous cars will transform the lifestyle of people by creating an efficient way of
driving on roads. The ability to detect and track the stationary or the moving objects is said to …

Autonomous navigation of car-like robots is a large domain with several techniques and
applications working in cooperation. It ranges from low-level control to global navigation …

Today's autonomous vehicles are equipped with a variety of sensors, control techniques and
actuators depending on the objectives and requirements of the addressing issue. In …