Botao He, Guofei Chen, Cornelia Fermuller, Yiannis Aloimonos, Ji Zhang
{"title":"Air-FAR: Fast and Adaptable Routing for Aerial Navigation in Large-scale Complex Unknown Environments","authors":"Botao He, Guofei Chen, Cornelia Fermuller, Yiannis Aloimonos, Ji Zhang","doi":"arxiv-2409.11188","DOIUrl":null,"url":null,"abstract":"This paper presents a novel method for real-time 3D navigation in\nlarge-scale, complex environments using a hierarchical 3D visibility graph\n(V-graph). The proposed algorithm addresses the computational challenges of\nV-graph construction and shortest path search on the graph simultaneously. By\nintroducing hierarchical 3D V-graph construction with heuristic visibility\nupdate, the 3D V-graph is constructed in O(K*n^2logn) time, which guarantees\nreal-time performance. The proposed iterative divide-and-conquer path search\nmethod can achieve near-optimal path solutions within the constraints of\nreal-time operations. The algorithm ensures efficient 3D V-graph construction\nand path search. Extensive simulated and real-world environments validated that\nour algorithm reduces the travel time by 42%, achieves up to 24.8% higher\ntrajectory efficiency, and runs faster than most benchmarks by orders of\nmagnitude in complex environments. The code and developed simulator have been\nopen-sourced to facilitate future research.","PeriodicalId":501031,"journal":{"name":"arXiv - CS - Robotics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.