Improving unmanned aerial vehicle pilot training and operation for flying in cluttered environments

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Volumn , Issue , 2009, Pages 5641-5646

  Hing, James T ^a   Sevcik, Keith W ^a   Oh, Paul Y ^a  

^a DREXEL UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCIDENT RATE; CLUTTERED ENVIRONMENTS; COMMERCIAL AIRLINER; FUTURE APPLICATIONS; GANTRY SYSTEM; ONBOARD CAMERA; OPERATING ENVIRONMENT; OPERATOR PERFORMANCE; PILOT TRAINING; SITUATIONAL AWARENESS; UAV ACCIDENTS; URBAN AREAS; VIRTUAL REPRESENTATIONS;

AIRCRAFT ACCIDENTS; CAMERAS; FEATURE EXTRACTION; INTELLIGENT ROBOTS; OPTICAL SENSORS; REMOTELY OPERATED VEHICLES;

UNMANNED AERIAL VEHICLES (UAV);

EID: 76249109885     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2009.5354080     Document Type: Conference Paper

References (14)

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, "Vision-based 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.