Top > JACIII > Utterance Generation Based on Driving Evaluation for Driving A ...

single-jc.php

JACIII Vol.20 No.5 pp. 836-844
doi: 10.20965/jaciii.2016.p0836
(2016)

Paper:

Views over last 60 days: 820

Utterance Generation Based on Driving Evaluation for Driving Assistance Robot

Yoshikazu Okajima*, Hiroyuki Masuta*, Masatoshi Okumura*, Tatsuo Motoyoshi*, Ken’ichi Koyanagi*, Toru Oshima*, and Eiichi Takayama**

*Toyama Prefectural University
5180 Kurokawa Imizu-shi, Toyama 939-0398, Japan

**TAKAYAMA CARS., Co. Ltd.
3-36-6 Nakaizumi Komae-shi Tokyo 201-0012, Japan

Received:
February 22, 2016
Accepted:
August 1, 2016
Published:
September 20, 2016
Creative Commons License
Keywords:
communication robot, fuzzy inference, spiking neural network, ultra-compact electric vehicle
Abstract
This manuscript describes a robot interaction for the driving assistance system of an Ultra-Compact Electric Vehicle (UCEV). Fun-to-drive and safety are important for improving the commercial value of UCEV. To improve fun-to-drive and safety, the improvement of the driving skills is important. However, the driving assistance system of an ordinary vehicle only considers the objective driving evaluation. Therefore, we propose an interactive driving assistance system that considers the relation between the subjective as well as the objective driving evaluation. Furthermore, we install a communicating robot within a UCEV to interact with human beings in real time. As a first step, we propose a driving evaluation system by applying a simplified fuzzy inference, and an interaction timing estimation method by applying a spiking neural network. Through an off-line simulation experiment, we verify the effectiveness of our proposal that is able to generate a robot utterances content as well as estimate reasonable timing.
Cite this article as:
Y. Okajima, H. Masuta, M. Okumura, T. Motoyoshi, K. Koyanagi, T. Oshima, and E. Takayama, “Utterance Generation Based on Driving Evaluation for Driving Assistance Robot,” J. Adv. Comput. Intell. Intell. Inform., Vol.20 No.5, pp. 836-844, 2016.
Data files:
References
  1. [1] T. Lieven, S. Muhlmeier, S. Henkel, and J. F. Waller, “Who will buy electric cars? An empirical study in Germany,” Transportation Research Part D: Transport and Environment, Vol.16, No.3, pp. 236-243, 2011.
  2. [2] Y. Kim, “Quart: Urban Micro Commuter,” 2013.
  3. [3] “WHITE PAPER ON LAND, INFRASTRUCTURE, TRANSPORT AND TOURISM IN JAPAN, 2014,” Ministry of Land, Infrastructure, Transport and Tourism, 2014.
  4. [4] Ministry of Land, Infrastructure, Transport and Tourism, http://www.mlit.go.jp/en/index.html, 2016, [Accessed Feb. 20, 2016].
  5. [5] MAZDA co.ltd., “MAZDA: Products textbar Commitment to Customers,” http://www2.mazda.com/en/csr/csr_vision/customer/product.html#s3, 2015, [Accessed Feb. 20, 2016].
  6. [6] K. Satou, R. Shitamatsu, M. Sugimoto, and E. Kamata, “Development of the on-board eco-driving support system,” Int. Scientific J. for Alternative Energy and Ecology, Vol.9, No.89, pp. 9-10, 2010.
  7. [7] Y. H. Nho, J. H. Seo, J. Y. Yang, and D. S. Kwon, “Driving Situation-based Real-Time Interaction with Intelligent Driving Assistance Agent,” Proc. of the 24th IEEE Int. Symp. on Robot and Human Interactive Communication, pp. 480-485, 2015.
  8. [8] D. Mitrovic, “Reliable method for driving events recognition,” IEEE Trans. on Intelligent Transportation Systems, Vol.6, No.2, pp. 198-205, 2005.
  9. [9] Y. Nakagawa, K. Park, H. Ueda, and H. Ono, “Driving Assistance with Conversation Robot for Elderly Drivers,” Universal Access in Human-Computer Interaction, Aging and Assistive Environments, Vol.8515, pp. 750-761, 2014.
  10. [10] H. Siegel, “Japanese telcos vie for share in consumer robot-as-a-service business,” http://robohub.org/japanese-telcos-vie-for-share-in-consumer-robot-as-a-service-business/, 2015, [Accessed Feb. 20, 2016].
  11. [11] T. Takagi and M. Sugeno, “Fuzzy Identification of Systems and Its Applications to Modeling andControl,” IEEE Trans. on Systems, Man and Cybernetics, Vol.15, No.1, pp. 116-132, 1985.
  12. [12] T. Fukuda and N. Kubota, “An Intelligent Robotic System Based on A Fuzzy Approach,” Proc. of The IEEE, Vol.87, Issue.9, pp. 1448-1470, 1999.
  13. [13] W. Maass, and C. M. Bishop, “Pulsed Neural Networks,” The MIT Press, 1999.
  14. [14] H. Masuta and N. Kubota, “Perceptual System using Spiking Neural Network for an Intelligent Robot,” 2010 IEEE Int. Conf. on Systems, Man and Cybernetics, pp. 3405-3412, 2010.

Creative Commons License  This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 22, 2024