This paper presents a local trajectory planning and control method based on the Rapidly-
exploring Random Tree algorithm for autonomous racing vehicles. The paper aims to …

In this paper, we propose a path planning system for autonomous navigation of unmanned
aerial vehicle based on a Rapidly-exploring Random Trees (RRT) combination of RRT …

This paper proposes a sampling based planning technique for planning maneuvering paths
for semi-autonomous vehicles, where the autonomous driving system may be taking over …

This paper presents a hierarchical trajectory planning based on the integration of a sampling
and an optimization method for urban autonomous driving. To manage a complex driving …

Safe path planning for obstacle avoidance in autonomous vehicles has been developed.
Based on the Rapidly Exploring Random Trees (RRT) algorithm, an improved algorithm …

Path planning is discussed in this article for an autonomous vehicle given a route to follow.
Route data is considered to be available for a distance ahead of the vehicle in a receding …

Autonomous parking technology is a key concept within autonomous driving research. This
paper will propose an imaginative autonomous parking algorithm to solve issues concerned …

Unmanned aerial vehicles (UAV) are a suitable solution for monitoring growing cultures due
to the possibility of covering a large area and the necessity of periodic monitoring. In …

Trajectory planning is challenging for autonomous cars since they operate in unpredictable
environments with limited sensor horizons. To incorporate new information as it is sensed …

Local path planning is important in the development of autonomous vehicles since it allows
a vehicle to adapt their movements to dynamic environments, for instance, when obstacles …