Characterization of sky-region morphological-temporal airborne collision detection

Journal of Field Robotics

Volumn 30, Issue 2, 2013, Pages 171-193

  Lai, John ^a   Ford, Jason J ^a   Mejias, Luis ^a   O'Shea, Peter ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AIRBORNE COLLISIONS; AIRBORNE TARGET; CLOUDY CONDITIONS; COLLISION-DETECTION; DETECTION APPROACH; DETECTION RANGE; ENABLING TECHNOLOGIES; FALSE ALARMS; FLIGHT TEST; GROUND CLUTTER; IMAGE DATA; IMAGE-BASED; NATIONAL AIR SPACES; PERFORMANCE TRADE-OFF; SAFETY CRITICAL SYSTEMS; SKY CONDITION; SYSTEM DESIGNERS; TEMPORAL PROCESSING;

ALARM SYSTEMS; CHARACTERIZATION; UNMANNED AERIAL VEHICLES (UAV);

AIRCRAFT ACCIDENTS;

EID: 84873455904     PISSN: 15564959     EISSN: 15564967     Source Type: Journal    
DOI: 10.1002/rob.21443     Document Type: Article

References (31)

1. Bai, X., Zhou, F., Xie, Y., &, Jin, T., (2009). Enhanced detectability of point target using adaptive morphological clutter elimination by importing the properties of the target region. Signal Processing, 89 (10), 1973-1989.
2. Barniv, Y., (1985). Dynamic programming solution for detecting dim moving targets. IEEE Transactions on Aerospace and Electronic Systems, 21, 144-156.
3. Bliss, J. P., (2003). Investigation of alarm-related accidents and incidents in aviation. International Journal of Aviation Psychology, 13, 249-268.
4. Carnie, R., Walker, R., &, Corke, P., (2006). Image processing algorithms for UAV "sense and avoid." In Proc. IEEE International Conference on Robotics and Automation (ICRA), Orlando, FL.
5. Davey, S. J., Rutten, M. G., &, Cheung, B., (2008). A comparison of detection performance for several track-before-detect algorithms. EURASIP Journal on Advances in Signal Processing, 2008, 1-10.
6. DeGarmo, M. T., (2004). Issues concerning integration of unmanned aerial vehicles in civil airspace. Technical Report MP 04W0000323, The MITRE Corporation.
7. Dey, D., Geyer, C., Singh, S., &, Digioia, M., (2011). A cascaded method to detect aircraft in video imagery. The International Journal of Robotics Research, 30 (12), 1527-1540.
8. Elliott, R. J., Aggoun, L., &, Moore, J. B., (1995). Hidden Markov models: Estimation and control. Berlin: Springer-Verlag.
9. Gandhi, T., Yang, M.-T., Kasturi, R., Camps, O., Coraor, L., &, McCandless, J., (2003). Detection of obstacles in the flight path of an aircraft. IEEE Transactions on Aerospace and Electronic Systems, 39, 176-191.
10. Gandhi, T., Yang, M.-T., Kasturi, R., Camps, O., Coraor, L., &, McCandless, J., (2006). Performance characterisation of the dynamic programming obstacle detection algorithm. IEEE Transactions on Image Processing, 15, 1202-1214.
11. Gardner, G. Y., (1985). Visual simulation of clouds. In Proc. Conference on Computer Graphics and Interactive Techniques, San Francisco, CA.
12. Geyer, C., Dey, D., &, Singh, S., (2009). Prototype sense-and-avoid system for UAVs. Technical Report CMU-RI-TR-09-09, Robotics Institute, Carnegie Mellon University.
13. Gonzalez, R. C., Woods, R. E., &, Eddins, S. L., (2004). Digital image processing using MATLAB, Morphological Image Processing (pp. 334-377). Upper Saddle River, NJ: Pearson Prentice Hall.
14. Greer, D. G., Mudford, R., Dusha, D., &, Walker, R., (2010). Airborne systems laboratory for automation research. In Proc. International Congress of the Aeronautical Sciences (ICAS), Nice.
15. Gu, Z. Q., Duncan, C. N., Renshaw, E., Mugglestone, M. A., Cowan, C. F. N., &, Grant, P. M., (1989). Comparison of techniques for measuring cloud texture in remotely sensed satellite meteorological image data. IEE Proceedings of Radar and Signal Processing, 136 (5), 236-248.
16. Harris, M. J., (2003). Real-time cloud simulation and rendering. Technical Report TR03-040, University of North Carolina.
17. ISO 31000:2009, (2009). Risk management-Principles and guidelines.
18. Karhoff, B., Limb, J., Oravsky, S., &, Shephard, A., (2006). Eyes in the domestic sky: An assessment of sense and avoid technology for the army's "warrior" unmanned aerial vehicle. In Proc. IEEE Systems and Information Engineering Design Symposium (SIEDS), Charlottesville, VA.
19. Lai, J., &, Ford, J. J., (2010). Relative entropy rate based multiple hidden Markov model approximation. IEEE Transactions on Signal Processing, 58, 165-174.
20. Lai, J., Ford, J. J., Mejias, L., O'Shea, P., &, Walker, R., (2011a). Detection versus false alarm characterisation of a vision-based airborne dim-target collision detection system. In Proc. Digital Image Computing: Techniques and Applications (DICTA) (pp. 448-455), Noosa, Sunshine Coast.
21. Lai, J., Ford, J. J., Mejias, L., O'Shea, P., &, Walker, R., (2012). See and avoid using on-board computer vision. In, Angelov, P., editor, Sense and Avoid in UAS: Research and Applications (pp. 265-294). Wiley, Chichester.
22. Lai, J., Ford, J. J., O'Shea, P., Walker, R., &, Bosse, M., (2008). A study of morphological pre-processing approaches for track-before-detect dim target detection. In Proc. Australasian Conference on Robotics and Automation (ACRA), Canberra.
23. Lai, J., Mejias, L., &, Ford, J. J., (2011b). Airborne vision-based collision-detection system. Journal of Field Robotics, 28, 137-157.
24. Mejias, L., Lai, J., Ford, J. J., &, O'Shea, P., (2012). Demonstration of closed-loop airborne sense-and-avoid using machine vision. IEEE Aerospace and Electronics Systems Magazine, 27 (4), 4-7.
25. Tonissen, S. M., &, Evans, R. J., (1996). Performance of dynamic programming techniques for track-before-detect. IEEE Transactions on Aerospace and Electronic Systems, 32, 1440-1451.
26. Utt, J., McCalmont, J., &, Deschenes, M., (2004). Test and integration of a detect and avoid system. In Proc. AIAA Infotech, Chicago, IL.
27. Utt, J., McCalmont, J., &, Deschenes, M., (2005). Development of a sense and avoid system. In Proc. AIAA Infotech, Arlington, VA.
28. Warren, R. C., (2002). A Bayesian track-before-detect algorithm for ir point target detection. Technical Report, Defence Science and Technology Organisation-Aeronautical and Maritime Research Laboratory.
29. Wynbrandt, J., (2004). Collision avoidance-Strategies and tactics. Technical Report Operations and Proficiency No. 4, Aircraft Owners and Pilots Association Air Safety Foundation.
30. Xiao, Z., Xingang, M., &, Guilin, Z., (2010). Second order morphology algorithm for ir small target enhancement in sea clutter background. In Proc. International Conference on Optics Photonics and Energy Engineering (OPEE) (pp. 107-119), Wuhan, China.
31. Xie, L., Ugrinovskii, V. A., &, Petersen, I. R., (2005). Probabilistic distances between finite-state finite-alphabet hidden Markov models. IEEE Transactions on Automatic Control, 50, 505-511.