Intelligent transportation systems (ITS) are globally installed in smart cities, which enable the
next generation of ITS depending on the potential integration of autonomous and connected …

Object tracking is a computer vision task that aims to locate and continuously follow the
movement of an object in video frames, given an initial annotation. Despite its importance …

The recent development of object-tracking frameworks has affected the performance of
many manufacturing and industrial services such as product delivery, autonomous driving …

In order to simulate the bending and torsional coupled vibration of solar panels under
external disturbances, an experimental system of a fixed flexible hinged plate is established …

This paper explores the application of Deep Reinforcement Learning (DRL) and Sim2Real
strategies to enhance the autonomy of beach-cleaning robots. Experiments demonstrate that …

This study proposes a hierarchical communication framework for drone swarms designed to
enhance security and operational efficiency. Leveraging elliptic curve cryptography and …

Drones have become an indispensable tool in our daily lives. While fixed-wing and rotary-
wing drones are common types, each comes with its own set of advantages and …

Object tracking is a computer vision task that aims to locate and continuously follow the
movement of an object in video frames, given an initial annotation. Despite its importance …

Abstract The integration of Deep Reinforcement Learning (DRL) into the realm of robotics
and autonomous systems has emerged as a groundbreaking paradigm shift, empowering …

Worldwide availability of drone technology has risen to unprecedented levels within the past
century due to its commercial availability. While there has been various positive applications …