Air-FAR: Fast and Adaptable Routing for Aerial Navigation in Large-scale Complex Unknown Environments

September 17, 2024 Β· Declared Dead Β· πŸ› IEEE International Conference on Robotics and Automation

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Authors Botao He, Guofei Chen, Cornelia Fermuller, Yiannis Aloimonos, Ji Zhang arXiv ID 2409.11188 Category cs.RO: Robotics Citations 0 Venue IEEE International Conference on Robotics and Automation Last Checked 4 months ago
Abstract
This paper presents a novel method for real-time 3D navigation in large-scale, complex environments using a hierarchical 3D visibility graph (V-graph). The proposed algorithm addresses the computational challenges of V-graph construction and shortest path search on the graph simultaneously. By introducing hierarchical 3D V-graph construction with heuristic visibility update, the 3D V-graph is constructed in O(K*n^2logn) time, which guarantees real-time performance. The proposed iterative divide-and-conquer path search method can achieve near-optimal path solutions within the constraints of real-time operations. The algorithm ensures efficient 3D V-graph construction and path search. Extensive simulated and real-world environments validated that our algorithm reduces the travel time by 42%, achieves up to 24.8% higher trajectory efficiency, and runs faster than most benchmarks by orders of magnitude in complex environments. The code and developed simulator have been open-sourced to facilitate future research.
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