Improving unmanned aerial vehicle pilot training and operation for flying in cluttered environments
IROS'09: Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Pages 5641 - 5646
Abstract
Future applications will bring unmanned aerial vehicles (UAVs) to new environments such as urban areas, causing a change in the way that UAVs are currently operated. However, UAV accidents still occur at a much higher rate than the accident rate for commercial airliners. Therefore, there is a need to better train UAV pilots and augment their performance to minimize accidents. In this paper, the authors present two methods for generating a chase view point (similar to the view of being towed behind the aircraft). Through use of these viewpoints, the authors propose to increase the situational awareness of UAV operators when flying in cluttered environments. The chase view combines a rotated onboard camera view with a virtual representation of the vehicle and the surrounding operating environment. Experiments were conducted evaluating a chase view versus a traditional onboard camera view during UAV flights using a 6 DOF gantry system. Results showed that the chase view improved UAV operator performance.
References
[1]
R. E. Weibel and R. J. Hansman, "Safety considerations for operation of unmanned aerial vehicles in the national airspace system," MIT International Center for Air Transportation, Tech. Rep. ICAT-2005-1, 2005.
[2]
M. Endlesy, "Design and evaluation for situation awareness enhancements," in Proceedings of the Human Factors Society 32nd Annual Meeting, Santa Monica, CA, 1988, pp. 97-101.
[3]
J. T. Hing and P. Y. Oh, "Development of an unmanned aerial vehicle piloting system with integrated motion cueing for training and pilot evaluation," Journal of Intelligent and Robotic Systems, vol. 54, pp. 3-19, 2009.
[4]
R. Murphy, "Human-robot interaction in rescue robotics," IEEE Transactions on Systems, Man, and Cybernetics, vol. 34, no. 2, pp. 138-153, 2004.
[5]
J. Tadema, J. Koeners, and E. Theunissen, "Synthetic vision to augment sensor-based vision for remotely piloted vehicles," in Enhanced and Synthetic Vision, vol. 6226. Orlando, FL: SPIE-Int. Soc. Opt. Eng., 2006, pp. 62 260D-1-10.
[6]
M. Sugimoto, G. Kagotani, H. Nii, N. Shiroma, F. Matsuno, and M. Inami, "Time follower's vision: a teleoperation interface with past images," IEEE Computer Graphics and Applications, vol. 25, no. 1, pp. 54-63, 2005.
[7]
C. W. Nielsen, M. A. Goodrich, and R. W. Ricks, "Ecological interfaces for improving mobile robot teleoperation," IEEE Transactions on Robotics, vol. 23, no. 5, pp. 927-941, 2007.
[8]
J. L. Drury, J. Richer, N. Rackliffe, and M. A. Goodrich, "Comparing situation awareness for two unmanned aerial vehicle human interface approaches," Defense Technical Information Center OAI-PMH Repository {http://stinet.dtic.mil/oai/oai} (United States), Tech. Rep., 2006.
[9]
M. Quigley, M. A. Goodrich, and R. Beard, "Semi-autonomous human-uav interfaces for fixed-wing mini-uavs," pp. 2457-2462, September 28 - October 2 2004.
[10]
T. P. Webb, R. J. Prazenica, A. J. Kurdila, and R. Lind, "Visionbased state estimation for autonomous micro air vehicles," Journal of Guidance, Control, and Dynamics, vol. 30, no. 3, pp. 816-826, 2007.
[11]
J. Y. Bouguet, "Pyramidal implementation of the lucas kanade feature tracker: Description of the algorithm," Intel Corporation Microprocessor Research Labs, Tech. Rep., 2002.
[12]
R. Hartley and A. Zisserman, Multiple view geometry in computer vision. Cambridge, UK: Cambridge University Press, 2003.
[13]
A. S. Watkins, J. J. Kehoe, and R. Lind, "Slam for flight through urban environments using dimensionality reduction," in AIAA Guidance, Navigation, and Control Conference, vol. v 8. Keystone, CO: American Institute of Aeronautics and Astronautics Inc., Reston, VA 20191, United States, 2006, pp. 5018-5029.
[14]
V. Narli and P. Y. Oh, "Hardware-in-the-loop test rig to capture aerial robot and sensor suite performance metrics," in IEEE International Conference on Intelligent Robots and Systems, Beijing, China, 2006, p. 2006.
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Published In
October 2009
5973 pages
ISBN:9781424438037
Sponsors
- SICE: Society of Instrument and Control Engineers
- RA: IEEE Robotics and Automation Society
- ICROS: Institute of Control, Robotics and Systems in Korea
Publisher
IEEE Press
Publication History
Published: 10 October 2009
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