To provide a technique that makes it possible to reduce errors included in a distance to be calculated, when sensors operate asynchronously with each other.SOLUTION: Provided is a method for associating point cloud data with relevant data, including the steps of: preparing multiple sets of point cloud data, each including point cloud information associated with three-dimensional position information and being associated with a time at which each point cloud data was acquired; for each of two or more point cloud data, classifying point clouds to create one or more groups, and adding a label that includes a position label and a label of a mobile entity flag that represents whether or not it is a mobile entity; predicting a movement path of a group on the basis of a position label of a group to which a mobile entity-on flag is added; and replacing a group with a position at a relevant data acquisition time and associating it with the relevant data acquisition time, on the basis of the movement path.SELECTED DRAWING: Figure 3
【課題】センサ同士が非同期で作動する場合において、算出される距離に含まれる誤差を低減することができる技術の提供。【解決手段】点群データを関連データと関連付ける方法であって、複数組の点群データを用意する工程であってそれぞれ3次元の位置情報と関連付けられた点群の情報を含み、各点群データが取得された時刻と関連付けられている工程と、2以上の点群データのそれぞれについて、点群を分類して1以上のグループを作成し、位置のラベルと移動体であるか否かを表す移動体フラグのラベルとを含むラベルを付与する工程と、移動体オンフラグが付されたグループの位置のラベルに基づいて、グループの移動経路を予測する工程と、移動経路に基づいて、グループを関連データの取得時刻における位置に置き換え、関連データの取得時刻と関連付ける工程とを含む。【選択図】図3
METHOD FOR ASSOCIATING POINT CLOUD DATA WITH RELEVANT DATA, PROGRAM, TRAINING DATASET, AND DEVICE
点群データを関連データと関連付ける方法、プログラム、学習データセット、および装置。
2024-04-02
Patent
Electronic Resource
Japanese
Point cloud data acquiring method and point cloud data acquiring system
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