Path estimation of a shopping cart using a particle filter and an environment map

Daiki Sasakura; Keigo Watanabe; Isaku Nagai

doi:10.1109/IECON.2016.7793480

Path estimation of a shopping cart using a particle filter and an environment map

Daiki Sasakura, Keigo Watanabe, Isaku Nagai

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Understanding of consumer behavior contributes a store for improving the profitability. It is important to analyze and understand consumer trajectories in a store building for the purpose. Therefore analyses of purchasing history and consumer's movement are performed in the process. Purchasing histories is regularly obtained via a POS system. For acquiring the movement path, a measurement device using an optical sensor and a gyro sensor was proposed. However, the device has a problem of poor measurement accuracy because of the accumulated error in the sensors. In this study, we propose a method for improving the accuracy by using a particle filter and an environmental map. We describe the outline of the device and the path estimated by the method from the measured data with a map.

Original language	English
Title of host publication	Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
Publisher	IEEE Computer Society
Pages	6152-6157
Number of pages	6
ISBN (Electronic)	9781509034741
DOIs	https://doi.org/10.1109/IECON.2016.7793480
Publication status	Published - Dec 21 2016
Event	42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy Duration: Oct 24 2016 → Oct 27 2016

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)

Other

Other	42nd Conference of the Industrial Electronics Society, IECON 2016
Country/Territory	Italy
City	Florence
Period	10/24/16 → 10/27/16

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IECON.2016.7793480

Cite this

Sasakura, D., Watanabe, K., & Nagai, I. (2016). Path estimation of a shopping cart using a particle filter and an environment map. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society (pp. 6152-6157). Article 7793480 (IECON Proceedings (Industrial Electronics Conference)). IEEE Computer Society. https://doi.org/10.1109/IECON.2016.7793480

Path estimation of a shopping cart using a particle filter and an environment map. / Sasakura, Daiki; Watanabe, Keigo; Nagai, Isaku.
Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. p. 6152-6157 7793480 (IECON Proceedings (Industrial Electronics Conference)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sasakura, D, Watanabe, K & Nagai, I 2016, Path estimation of a shopping cart using a particle filter and an environment map. in Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society., 7793480, IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, pp. 6152-6157, 42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 10/24/16. https://doi.org/10.1109/IECON.2016.7793480

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Path estimation of a shopping cart using a particle filter and an environment map

Abstract

Publication series

Other

ASJC Scopus subject areas

UN SDGs

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