single-rb.php

JRM Vol.27 No.6 pp. 671-680
doi: 10.20965/jrm.2015.p0671
(2015)

Paper:

Evaluation of Low-Speed Driving Behavior of Remotely Controlled Vehicle

Manabu Omae*, Yushi Odaka**, Kenta Fujii**, and Hiroshi Shimizu**

*Graduate School of Media and Governance, Keio University
5322 Endo, Fujisawa, Kanagawa 252-0882, Japan

**Faculty of Environment and Information Studies, Keio University
5322 Endo, Fujisawa, Kanagawa 252-0882, Japan

Received:
July 19, 2015
Accepted:
October 2, 2015
Published:
December 20, 2015
Keywords:
intelligent transport systems, remotely controlled vehicle, human-machine interface, drivability, automatic driving
Abstract
Experimental vehicles for test

This paper presents an experimental study on the remote control of a vehicle, focusing on driving behavior. In remote control, an operator controls a vehicle remotely using visual information captured and transmitted by a camera on the controlled vehicle without grasping sensory information related to vehicle motion, such as acceleration, vibration, or turning. The quality of visual information and a consideration of the lack of sensory information about vehicle motion are thus important for operating a vehicle safely and efficiently. This study clarifies differences in human (direct) driving and remote control driving. In step 1 of the study, we developed an experimental vehicle to evaluate the influence of visual information and evaluated the relationship between driving behavior and the quality of visual information. In step 2, we developed a remotely controlled vehicle to compare driving behavior during direct and remote driving. We also evaluated the driving behavior exhibited when there was no information on vehicle motion.

Cite this article as:
M. Omae, Y. Odaka, K. Fujii, and H. Shimizu, “Evaluation of Low-Speed Driving Behavior of Remotely Controlled Vehicle,” J. Robot. Mechatron., Vol.27, No.6, pp. 671-680, 2015.
Data files:
References
  1. [1] N. J. Cooke, H. L. Pringle, H. K. Pedersen, and O. Conner, “Human Factors of Remotely Operated Vehicles,” Advances in Human Performance and Cognitive Engineering Research Vol.7, JAI Press, 2006.
  2. [2] T. Oki and M. Okugawa, “Radio Control Techniques in the Rescue Robot Contest,” J. of Japan Society for Fuzzy Theory and Intelligent Informatics, Vol.18, No.1, pp. 21-26, 2006 (in Japanese).
  3. [3] T. Masuda, H. Yano, and H. Iwata, “Development of a Wireless Omnidirectional Camera System with Omnidirectional Vehicle,” IEICE Technical Report, MVE2006-4, pp. 17-22, 2006 (in Japanese).
  4. [4] M. Omae, T. Hirano, D. Inoue, N. Honma, and H. Shimizu, “Comparison of PC-based Control Interfaces for Remotely Controlled Electric Wheelchair,” Proceedings of ADVANTY2008 Symposium, pp. 51-54, 2008 (in Japanese).
  5. [5] M. Harada and K. Yoshimoto, “Improvement of Maneuverability of Remote-Controlled Vehicle by Predicted Trajectory Indicating System,” Proceedings of 9th Int. Symposium on Advanced Vehicle Control, pp. 491-496, 2008.
  6. [6] J. S. Kay and C. E. Thorpe, “Operator Interface Design Issues in a Low-Bandwidth and High-Latency Vehicle Teleportation System,” Proc. of 25th Int. Conf. on Environmental Systems, 2005.
  7. [7] M. Kobayashi, T. Kawabe, S. Takahashi, and Y. Watanabe, “Study of Novel Control Method of Steering System for a Radio-Controlled Truck,” Proc. of JSAE Annual Congress, pp. 61-64, 1995 (in Japanese).
  8. [8] S. Tanaka, Y. Suda, H. Makino, and T. Hirasawa, “Research and Development of Parking ITS,” Proc. of ITS Symposium 2010, pp. 99-103, 2010 (in Japanese).
  9. [9] Y. Suzuki, T. Hori, T. Kitazumi, K. Aoki, T. Fukao, and T. Sugimachi, “Development of Automated Platooning System based on Heavy Duty Trucks,” Proc. of 17th ITS World Congress, 2010.
  10. [10] S. Takabatake and M. Harada, “Teleoperating Assist System by Displaying Predicted Trajectory of Unmanned Ground Vehicle,” Proc. of JSAE Annual Congress, No.76, No.11, pp. 29-34, 2011 (in Japanese).

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, IE9,10,11, Opera.

Last updated on Nov. 16, 2018