Abstract
<p>This research aims to develop a high-speed spatial change detection technique using point clouds and NDT (Normal Distributions Transform). Three techniques are introduced to make the proposed system robust for noise, that is, classification of point distribution, overlapping of voxels, and voting using consecutive sensing. This paper describes the results of performance verification of spatial change detection in indoor and outdoor environments.</p>
| Translated title of the contribution | High-speed spatial change detection using point clouds and NDT:-Performance verification of spatial change detection in indoor and outdoor environments- |
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| Original language | Japanese |
| Pages (from-to) | 2A1-R08 |
| Journal | ロボティクス・メカトロニクス講演会講演概要集 |
| Volume | 2019 |
| Issue number | 0 |
| DOIs | |
| Publication status | Published - 2019 |