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JRM Vol.35 No.2 pp. 470-482
doi: 10.20965/jrm.2023.p0470
(2023)

Paper:

A Map Creation for LiDAR Localization Based on the Design Drawings and Tablet Scan Data

Satoshi Ito ORCID Icon, Ryutaro Kaneko, Takumi Saito, and Yuji Nakamura

Gifu University
1-1 Yanagido, Gifu 501-1193, Japan

Received:
September 24, 2022
Accepted:
November 22, 2022
Published:
April 20, 2023
Keywords:
self-localization, point cloud data, map creation, design drawings, tablet computer
Abstract

This paper proposes a method for the point cloud data (PCD) map creation for the 3D LiDAR localization. The features of the method include the creation of a PCD map from a drawing of the buildings and partial scan of the not-existing object of the map by the tablet computer with the LiDAR. In the former, a map creation procedure, including the up- and down-sampling, as well as the processing, with voxel grid filter is established. In the latter, automatic position correction of the tablet scan data is introduced when they are placed to the current PCD map. Experiments are conducted to determine the size of the voxel grid filter and prove the effect of the tablet scan data in enhancing the matching level and the localization accuracy. Finally, the experiment with an autonomous mobile robot demonstrates that a map created using the proposed method is sufficient for autonomous driving without losing the localization.

Map creation process

Map creation process

Cite this article as:
S. Ito, R. Kaneko, T. Saito, and Y. Nakamura, “A Map Creation for LiDAR Localization Based on the Design Drawings and Tablet Scan Data,” J. Robot. Mechatron., Vol.35 No.2, pp. 470-482, 2023.
Data files:
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Last updated on Jul. 23, 2024