2017年5月
車載3次元LIDARによる広域地図作成と基盤地図情報の道路に着目したグラフベース最適化手法
日本機械学会ロボティクス・メカトロニクス講演会2017(ROBOMECH2017)講演論文集
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- 巻
- 2017
- 号
- 開始ページ
- 2P2-A06(1)
- 終了ページ
- 2P2-A06(4)
- 記述言語
- 日本語
- 掲載種別
- DOI
- 10.1299/jsmermd.2017.2P2-A06
- 出版者・発行元
- 一般社団法人 日本機械学会
<p>The paper presents a method to generate a large-scale 3D fundamental map from a running vehicle. As an easy-to-use approach for frequent updates, we propose a system to utilize Simultaneous Localization and Mapping (SLAM) which is robot mapping technology. In traditional methods, a special machine or many manual operations cause higher mapping costs. Existing Mobile mapping Method (MMS) requires manual anchoring points measurement for accuracy assurance. To solve the problem, we propose a 3D map optimization method by using road information of the standard map issued by The Geospatial Information Authority of Japan. Experimental results of on-vehicle 3D LIDAR observation show that the proposed system could correct the cumulative distortion of SLAM results and automatically generates large-scale 3D map assuring reference accuracy.</p>
- リンク情報
- ID情報
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- DOI : 10.1299/jsmermd.2017.2P2-A06
- CiNii Articles ID : 130006221281