Reactive Trajectory Generation of Unmanned Aerial Vehicle Incorporating Fuzzy C-Means Clustering and Optimization Problem-Based Guidance

This study introduces a reactive trajectory generation framework designed for navigating a hexacopter through environments with multiple obstacles. The algorithm uses the obstacle data acquired by a LiDAR sensor mounted on the UAV to dynamically generate trajectories in real-time. As the UAV continu...

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Bibliographic Details
Main Authors: Jongho Park, Seokwon Lee
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10776981/
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