Air-FAR:在大规模复杂未知环境中为空中导航提供快速、自适应的路由选择

Botao He, Guofei Chen, Cornelia Fermuller, Yiannis Aloimonos, Ji Zhang
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引用次数: 0

摘要

本文提出了一种使用分层三维可见度图(V-graph)在大规模复杂环境中进行实时三维导航的新方法。所提出的算法同时解决了V图构建和图上最短路径搜索的计算难题。通过引入分层三维可见性图构建和启发式可见性更新,三维可见性图的构建只需O(K*n^2logn)时间,保证了实时性。所提出的迭代分而治之路径搜索方法可以在实时操作的约束条件下获得接近最优的路径解。该算法确保了高效的三维 V 型图构建和路径搜索。大量的模拟和实际环境验证了我们的算法可以减少 42% 的旅行时间,实现高达 24.8% 的高轨迹效率,并且在复杂环境中的运行速度比大多数基准快了几个数量级。代码和开发的模拟器已经开源,以方便未来的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Air-FAR: Fast and Adaptable Routing for Aerial Navigation in Large-scale Complex Unknown Environments
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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