Path planning is a crucial process for unmanned aerial vehicles (UAVs) and involves finding
a path that is both short and safe. However, with the ever-increasing complexity of the …

With the increase in UAV scale and mission diversity, trajectory planning systems faces
more and more complex constraints, which are often conflicting and strongly coupled …

To address the limitations of agricultural UAV in performing trajectory planning in complex
hilly terrain, a trajectory planning model based on hilly characteristic terrain and agricultural …

Aiming at the problem of difficult obstacle avoidance for unmanned ground vehicles (UGVs)
in complex dynamic environments, an improved A*-APF algorithm (BA*-MAPF algorithm) is …

Acoustic manipulation has emerged as a promising microtarget control method with
potential applications in microchip assembly, noncontact control of chemical materials, and …

When applied in building rescue, forest search and other missions, UAV swarms often
encounter challenges such as narrow space constraints and dynamic changes of obstacles …

Accurate segmentation of safe navigable areas is crucial for scene parsing in autonomous
driving systems. However, existing segmentation methods often fail to fully leverage the …

The operational areas for unmanned aerial vehicles (UAVs) used in power line inspection
are highly complex; thus, the best path planning under known obstacles is of significant …

Segmentation of safe navigable areas is a crucial technology for scene parsing in autopilot
systems. However, existing segmentation methods often fail to adequately exploit the …

Unmanned aerial vehicles (UAVs) are advanced flight systems. However, their positioning
systems cause distance-dependent errors during flight. This study seeks to solve the UAV …