A Study on Route Guidance of a Car Navigation System Based on Augmented Reality
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- Akaho Kengo
- Advanced Technology R&D Center, Mitsubishi Electric Corporation
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- Nakagawa Takashi
- Advanced Technology R&D Center, Mitsubishi Electric Corporation
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- Yamaguchi Yoshihisa
- Advanced Technology R&D Center, Mitsubishi Electric Corporation
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- Kawai Katsuya
- Advanced Technology R&D Center, Mitsubishi Electric Corporation
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- Kato Hirokazu
- Graduate School of Information Science, Nara Institute of Science and Technology
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- Nishida Shogo
- Graduate School of Engineering Science, Osaka University
Bibliographic Information
- Other Title
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- 実写画像を用いたカーナビにおける交差点案内の情報提示手法に関する検討と評価
- ジッシャ ガゾウ オ モチイタ カーナビ ニ オケル コウサテン アンナイ ノ ジョウホウ テイジ シュホウ ニ カンスル ケントウ ト ヒョウカ
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Abstract
Car navigation systems play a prominent role in road traffic safety and traffic regulation. However, it is necessary to improve the route guidance of car navigation systems so that accurately and quickly recognize small differences in location. Thus, to increase the ease of understanding and safety of car-navi systems, navigation systems based on augmented reality have been proposed for providing guidance at road intersections. We are currently developing a car navigation system based on augmented reality, called AR-Navi. We investigated designs for the display of road intersection guidance that can be easily understood even when limited information is available and proposed a “best shot” display method that does not use moving images. In addition, we implemented a prototype system that includes these methods and conducted driving experiments on public roads to evaluate the ease of understanding and safety of AR-Navi. Using the evaluation results, we confirmed that the ease of understanding and safety is similar in the case of AR-Navi and CG-Navi. We also clarified the characteristics of AR-Navi.
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 131 (7), 897-906, 2011
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204658389504
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- NII Article ID
- 10030530563
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- NII Book ID
- AN10012320
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- ISSN
- 13488163
- 09136339
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- NDL BIB ID
- 11166480
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed