日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

UAVナビゲーションarXiv:1910.02786

UAVによる橋梁内部の自律点検のための視点計画とナビゲーション

View Planning and Navigation Algorithms for Autonomous Bridge Inspection with UAVs

シェア:XThreadsFacebookLINEはてブBluesky

GPSやオプティカルフローが使えない箱桁橋内部で、2D LiDARを用いた局所ナビゲーションと監督・計画器を組み合わせ、UAVが橋梁を完全自律点検するシステムを構築した。

著者: Kevin Yu, Prajwal Shanthakumar, Jonah Orevillo, Eric Bianchi, Matthew Hebdon, Pratap Tokekar

分類: cs.RO

原文アブストラクト

We study the problem of infrastructure inspection using an Unmanned Aerial Vehicle (UAV) in box girder bridge environments. We consider a scenario where the UAV needs to fully inspect box girder bridges and localize along the bridge surface when standard methods like GPS and optical flow are denied. Our method for overcoming the difficulties of box girder bridges consist of creating local navigation routines, a supervisor, and a planner. The local navigation routines use two 2D Lidars for girder and column flight. For switching between local navigation routines we implement a supervisor which dictates when the UAV is able to switch between local navigation routines. Lastly, we implement a planner to calculate the path along that box girder bridge that will minimize the flight time of the UAV. With local navigation routines, a supervisor, and a planner we construct a system that can fully and autonomously inspect box girder bridges when standard methods are unavailable.

関連論文

  1. 1Boston Dynamics、車輪付きAtlasの研究試作機を紹介研究・技術
  2. 2GXOとApptronik、Apolloの物流現場試験を拡大 最大1,000台の展開を構想量産・展開
  3. 3newmoとKDDIが資本業務提携 2028年に堺市で自動運転タクシー商用化目指す提携・買収
  4. 4NVIDIA、CoRLでGR00T 2とIsaac Lab 3.0を発表新製品・発表
  5. 5UC BerkeleyとNVIDIAの研究者、AIエージェントでロボット制御コードを仮想環境で改善研究・技術

PR・アフィリエイト広告

OZ GAMING(GPU搭載BTOゲーミングPC)

OZ GAMING(GPU搭載BTOゲーミングPC)の公式広告バナーOZ GAMINGで完成品PCを見る ↗
PR本紙発行元 EmplifAI