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A hybrid trajectory optimization solution applied to UAVs based on point cloud information and bio-inspired evolutionary algorithm
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DOI：10.1016/j.asoc.2025.114470.png)
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Abstract
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• This paper addresses the challenges of trajectory optimization and flight safety for unmanned aerial vehicles (UAVs). • A trajectory optimization solution based on point cloud information and bio-inspired evolution optimization methods is proposed. • A gradient generation algorithm is developed based on point cloud maps. • A bio-inspired trajectory optimization method is proposed by incorporating sensor perception range constraints. • A high-performance, lightweight autonomous navigation platform is developed and verified through multi-environment experiments.
Keywords:
Gradient generation
Trajectory optimization
Point cloud information
Bio-inspired evolutionary algorithm
Unmanned aerial vehicles (UAVs)
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