Visual SLAM (VSLAM) has been developing rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …

In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their
flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) …

In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown
significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous …

With the development of UAV technology, the task allocation problem of multiple UAVs is
remarkable, but most of these existing heuristic methods are easy to fall into the problem of …

Metaverse opens up a new social networking paradigm where people can experience a real
interactive feeling without physical space constraints. Social interactions are gradually …

Unmanned aerial vehicles (UAVs) have been widely used in industry and daily life, where
safety is the primary consideration, resulting in their use in open outdoor environments …

Computer vision-based depth estimation and visual odometry provide perceptual
information useful for robot navigation tasks like obstacle avoidance. However, despite the …

Positioning of unoccupied aerial systems (UAS, drones) is predominantly based on Global
Navigation Satellite Systems (GNSS). Due to potential signal disruptions, redundant …

Air pollution primarily originates from substances that are directly emitted from natural or
anthropogenic processes, such as carbon monoxide (CO) gas emitted in vehicle exhaust or …

With the growing reliability of modern ad hoc networks, it is encouraging to analyze the
potential involvement of autonomous ad hoc agents in critical situations where human …