SLAMを用いた屋内自律ナビゲーションシステムの開発
Autonomous Navigation System from Simultaneous Localization and Mapping
SLAMを基盤とした屋内自律ナビゲーションのソフトウェア構成を提案し、スマート車椅子への応用可能性を評価した。床の誘導線などを必要とせず、コードはオープンソース化されている。
著者: Micheal Caracciolo, Owen Casciotti, Christopher Lloyd, Ernesto Sola-Thomas, Matthew Weaver, Kyle Bielby, Md Abdul Baset Sarker, Masudul H. Imtiaz
分類: cs.RO, cs.CV
原文アブストラクト
This paper presents the development of a Simultaneous Localization and Mapping (SLAM) based Autonomous Navigation system. The motivation for this study was to find a solution for navigating interior spaces autonomously. Interior navigation is challenging as it can be forever evolving. Solving this issue is necessary for multitude of services, like cleaning, the health industry, and in manufacturing industries. The focus of this paper is the description of the SLAM-based software architecture developed for this proposed autonomous system. A potential application of this system, oriented to a smart wheelchair, was evaluated. Current interior navigation solutions require some sort of guiding line, like a black line on the floor. With this proposed solution, interiors do not require renovation to accommodate this solution. The source code of this application has been made open source so that it could be re-purposed for a similar application. Also, this open-source project is envisioned to be improved by the broad open-source community upon past its current state.
関連論文
- SuperMap: 視覚言語ナビゲーションのための時空間SLAMシステムSLAM/ナビゲーション
- DynoSLAM: 実世界の社会的ナビゲーションのための生成グラフニューラルネットワークを用いた動的SLAMSLAM/ナビゲーション
- BA-LINS: LiDAR慣性ナビゲーションのためのフレーム間バンドル調整SLAM/ナビゲーション
- FHT-Map: 再位置推定と経路計画のための特徴ベース階層トポロジカルマップSLAM/ナビゲーション
- アフォーダンス認識型マルチモーダルニューラルSLAMによる行動学習SLAM/ナビゲーション
- Topomap:視覚SLAM地図に基づくトポロジカルマッピングとナビゲーションSLAM/ナビゲーション
