LIDAR SCAN MATCHING with PPP-RTK for 3D FARM MAPPING

Masafumi Nakagawa, Sayaka Yokoyama, Tomohiro Ozeki, Nobuaki Kubo, Hiromune Namie, Masashi Yoshida, Yoshihiro Iwaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In various advanced agriculture activities called smart agriculture, we focus on three-dimensional measurements for farm mapping and machine control. We also focus on precise point positioning real-time kinematic systems, such as Global Navigation Satellite System (GNSS) positioning with submeter-level augmentation services (SLAS), centimeter-level augmentation services (CLAS), and multi-GNSS advanced demonstration tool for orbit and clock analysis (MADOCA) to improve the efficiency of precise positioning using the Quasi-Zenith Satellite System. In our study, we selected a farm as an experiment area to acquire point clouds and position data of cultivation works before sowing soybeans. We used a low-price light detection and ranging device with a multifrequency GNSS. Through our experiment, we evaluated the positioning performance of SLAS, CLAS, and MADOCA for point cloud acquisition. Moreover, we confirmed that our methodology can reconstruct point clouds from a tractor.

Original languageEnglish
Title of host publication42nd Asian Conference on Remote Sensing, ACRS 2021
PublisherAsian Association on Remote Sensing
ISBN (Electronic)9781713843818
Publication statusPublished - 2021
Event42nd Asian Conference on Remote Sensing, ACRS 2021 - Can Tho, Viet Nam
Duration: 2021 Nov 222021 Nov 26

Publication series

Name42nd Asian Conference on Remote Sensing, ACRS 2021

Conference

Conference42nd Asian Conference on Remote Sensing, ACRS 2021
Country/TerritoryViet Nam
CityCan Tho
Period21/11/2221/11/26

Keywords

  • Mobile mapping
  • Multilayer LiDAR
  • PPP-RTK
  • Scan matching
  • Smart agriculture

ASJC Scopus subject areas

  • Information Systems

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