@article{oai:ipsj.ixsq.nii.ac.jp:00204267,
 author = {Nattaon, Techasarntikul and Photchara, Ratsamee and Jason, Orlosky and Tomohiro, Mashita and Yuki, Uranishi and Kiyoshi, Kiyokawa and Haruo, Takemura and Nattaon, Techasarntikul and Photchara, Ratsamee and Jason, Orlosky and Tomohiro, Mashita and Yuki, Uranishi and Kiyoshi, Kiyokawa and Haruo, Takemura},
 issue = {3},
 journal = {情報処理学会論文誌},
 month = {Mar},
 note = {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
------------------------------, 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
------------------------------},
 title = {Guidance and Visualization of Optimized Packing Solutions},
 volume = {61},
 year = {2020}
}