Autonomous Mobile Robot Navigation Using 2D LiDAR and Inclined Laser Rangefinder to Avoid a Lower Object

Phang Darren Ren Yee, Nattawat Pinrath, Nobuto Matsuhira

研究成果: Conference contribution

抄録

In this study, we propose a collaborative autonomous navigation stack between two sensors: a laser rangefinder (LRF) and a 2D light detection and ranging (LiDAR). The difference between LRF and LiDAR is that LiDAR uses the same laser technology but rotates around its axis and offers a 360° all-round visibility. The system can navigate in a more complex environment such as a convenience store or a supermarket. Because of the collaboration between inclined LRFs and 2D LiDARs, a mobile robot can avoid objects below the scanning sight of a 2D LiDAR, for example, a small box, a short display rack, shelf legs, and the lower body of a shopping cart. Thus, the proposed system leverages the navigation stack capabilities of using multiple observation sources to increase the accuracy of both navigation and obstacle avoidance. Our method aims to solve the issue of obstacle avoidance of objects below the scanning sight of a 2D LiDAR and increase the accuracy of detection during navigation using an inclined LRF. The proposed system is based on a robot operating system. Experiments were conducted to demonstrate outputs in terms of increasing navigation and detection accuracy by being able to effectively avoid objects below a 2D LiDAR.

本文言語English
ホスト出版物のタイトル2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1404-1409
ページ数6
ISBN(電子版)9781728110899
出版ステータスPublished - 2020 9 23
イベント59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020 - Chiang Mai, Thailand
継続期間: 2020 9 232020 9 26

出版物シリーズ

名前2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020

Conference

Conference59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020
国/地域Thailand
CityChiang Mai
Period20/9/2320/9/26

ASJC Scopus subject areas

  • 制御と最適化
  • 器械工学
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理
  • 決定科学(その他)
  • 産業および生産工学

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