Pedestrian navigation based on landmark recognition using glass-type wearable devices

Ryoya Yano; Tomoyuki Nitta; Kazuaki Ishikawa; Masao Yanagisawa; Nozomu Togawa

doi:10.1109/GCCE.2016.7800433

Pedestrian navigation based on landmark recognition using glass-type wearable devices

Ryoya Yano, Tomoyuki Nitta, Kazuaki Ishikawa, Masao Yanagisawa, Nozomu Togawa

School of Fundamental Science and Engineering

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

Abstract

In this paper, we propose a pedestrian navigation system based on landmark recognition. Our proposed system utilizes a glass-type wearable device and gives a correspondence between a map and a real-world landscape. By recognizing a landmark position effectively, a pedestrian can easily know where to turn at each turning position and hence he/she can reach his/her goal without losing his/her way. Experimental results demonstrate that the proposed system can increase the landmarks which pedestrians can recognize and thus gives comprehensive navigation effectively.

Original language	English
Title of host publication	2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509023332
DOIs	https://doi.org/10.1109/GCCE.2016.7800433
Publication status	Published - 2016 Dec 27
Event	5th IEEE Global Conference on Consumer Electronics, GCCE 2016 - Kyoto, Japan Duration: 2016 Oct 11 → 2016 Oct 14

Publication series

Name	2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016

Other

Other	5th IEEE Global Conference on Consumer Electronics, GCCE 2016
Country	Japan
City	Kyoto
Period	16/10/11 → 16/10/14

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Computer Science Applications
Hardware and Architecture
Instrumentation

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Yano, R., Nitta, T., Ishikawa, K., Yanagisawa, M., & Togawa, N. (2016). Pedestrian navigation based on landmark recognition using glass-type wearable devices. In 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016 [7800433] (2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2016.7800433

Pedestrian navigation based on landmark recognition using glass-type wearable devices. / Yano, Ryoya; Nitta, Tomoyuki; Ishikawa, Kazuaki; Yanagisawa, Masao ; Togawa, Nozomu.

2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7800433 (2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016).

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

Yano, R, Nitta, T, Ishikawa, K, Yanagisawa, M & Togawa, N 2016, Pedestrian navigation based on landmark recognition using glass-type wearable devices. in 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016., 7800433, 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016, Institute of Electrical and Electronics Engineers Inc., 5th IEEE Global Conference on Consumer Electronics, GCCE 2016, Kyoto, Japan, 16/10/11. https://doi.org/10.1109/GCCE.2016.7800433

Yano R, Nitta T, Ishikawa K, Yanagisawa M , Togawa N. Pedestrian navigation based on landmark recognition using glass-type wearable devices. In 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7800433. (2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016). https://doi.org/10.1109/GCCE.2016.7800433

Yano, Ryoya ; Nitta, Tomoyuki ; Ishikawa, Kazuaki ; Yanagisawa, Masao ; Togawa, Nozomu. / Pedestrian navigation based on landmark recognition using glass-type wearable devices. 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016).

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AB - In this paper, we propose a pedestrian navigation system based on landmark recognition. Our proposed system utilizes a glass-type wearable device and gives a correspondence between a map and a real-world landscape. By recognizing a landmark position effectively, a pedestrian can easily know where to turn at each turning position and hence he/she can reach his/her goal without losing his/her way. Experimental results demonstrate that the proposed system can increase the landmarks which pedestrians can recognize and thus gives comprehensive navigation effectively.

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Pedestrian navigation based on landmark recognition using glass-type wearable devices

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