Abstract Unmanned Aerial Vehicle (UAV) path planning is to plan an optimal path for its
flight in a specific environment. But it cannot get satisfactory results using ordinary …

In recent decades, Rapidly-exploring Random Tree star (RRT*) has garnered significant
attention in the field of path planning due to its asymptotical optimality feature. However, the …

Wildfires have long been one of the critical environmental disasters that require a careful
monitoring system. An intelligent system has the potential to both prevent/extinguish the fire …

In the problem of trajectory optimization for unmanned aerial vehicles (UAVs) passing
through multiple target points, continuous velocity and acceleration in the process of …

This study focuses on the path-planning problem of rescue UAVs with regional detection
priority. Initially, we propose a mixed-integer programming model that integrates coverage …

The protection of plants in mountainous and hilly areas differs from that in plain areas due to
the complex terrain, which divides the work plot into many narrow plots. When designing the …

Ship path planning is the core problem of autonomous driving of smart ships and the basis
for avoiding obstacles and other ships reasonably. To achieve this goal, this study improved …

Alarm sounds significantly influence a user's sensory perception while driving, directly
affecting driving judgement and safety. Personal experience and the environment play an …

The recently introduced coati optimization algorithm suffers from drawbacks such as slow
search velocity and weak optimization precision. An enhanced coati optimization algorithm …

Deep reinforcement learning technology applied to three-dimensional Unmanned Aerial
Vehicle (UAV) air game maneuver decision-making often results in low utilization efficiency …