Guidance and Visualization of Optimized Packing Solutions

• Item type: Journal(1)
• 公開日: 2020-03-15
• タイトル: Guidance and Visualization of Optimized Packing Solutions
• タイトル / 言語: en
• タイトル: Guidance and Visualization of Optimized Packing Solutions
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集：若手研究者] Spatial Augmented Reality, Packing Support System
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Information Science and Technology, Osaka University
• 著者所属: Cybermedia Center, Osaka University
• 著者所属: Cybermedia Center, Osaka University
• 著者所属: Cybermedia Center, Osaka University
• 著者所属: Cybermedia Center, Osaka University
• 著者所属: Graduate School of Science and Technology, Nara Institute of Science and Technology
• 著者所属: Cybermedia Center, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Information Science and Technology, Osaka University
• 著者所属(英): en
• 著者所属(英): Cybermedia Center, Osaka University
• 著者所属(英): en
• 著者所属(英): Cybermedia Center, Osaka University
• 著者所属(英): en
• 著者所属(英): Cybermedia Center, Osaka University
• 著者所属(英): en
• 著者所属(英): Cybermedia Center, Osaka University
• 著者所属(英): en
• 著者所属(英): Graduate School of Science and Technology, Nara Institute of Science and Technology
• 著者所属(英): en
• 著者所属(英): Cybermedia Center, Osaka University
• 著者名: Nattaon, Techasarntikul; Photchara, Ratsamee; Jason, Orlosky; Tomohiro, Mashita; Yuki, Uranishi; Kiyoshi, Kiyokawa; Haruo, Takemura
• 著者名(英): Nattaon, Techasarntikul; Photchara, Ratsamee; Jason, Orlosky; Tomohiro, Mashita; Yuki, Uranishi; Kiyoshi, Kiyokawa; Haruo, Takemura
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Packing optimization is a challenging and time-consuming task for a number of industry and logistics applications. Efficient packing can reduce the cost of storage and shipping and also guarantee that damage will not occur during shipping. To help address this problem, we propose a spatial augmented reality-based support system for assisting workers with packing optimization. Our packing support system first uses an RGB-D camera to acquire color and depth information of the items to be packed and the destination container. Then, object segmentation and dimension estimation are simultaneously carried out, and the position and orientation of packing items inside the container are calculated using a bin-packing algorithm. Finally, the optimized packing instructions are projected onto the user's work area. We then developed and tested two user interfaces (UI) for visualizing instructions called Rotation and Object Movement. Experimental results showed that both methods help reduce packing time up to 57.89% in Rotation and 55.63% in Object Movement, compared to a non-UI method.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.28(2020) (online); DOI http://dx.doi.org/10.2197/ipsjjip.28.193; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Packing optimization is a challenging and time-consuming task for a number of industry and logistics applications. Efficient packing can reduce the cost of storage and shipping and also guarantee that damage will not occur during shipping. To help address this problem, we propose a spatial augmented reality-based support system for assisting workers with packing optimization. Our packing support system first uses an RGB-D camera to acquire color and depth information of the items to be packed and the destination container. Then, object segmentation and dimension estimation are simultaneously carried out, and the position and orientation of packing items inside the container are calculated using a bin-packing algorithm. Finally, the optimized packing instructions are projected onto the user's work area. We then developed and tested two user interfaces (UI) for visualizing instructions called Rotation and Object Movement. Experimental results showed that both methods help reduce packing time up to 57.89% in Rotation and 55.63% in Object Movement, compared to a non-UI method.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.28(2020) (online); DOI http://dx.doi.org/10.2197/ipsjjip.28.193; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 61, 号 3, 発行日 2020-03-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764