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| 1 |
ID:
150495
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| 2 |
ID:
104709
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| 3 |
ID:
119319
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| 4 |
ID:
119368
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| 5 |
ID:
110683
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| 6 |
ID:
136045
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| Summary/Abstract |
Research on vision-based navigation of unmanned air vehicles (UAVs) has been in focus in the recent years, both in military and civilian application domains. Vision-based navigation uses features as cues to match successive images and compute the location of the UAV. The method proposed in this paper is an extension to the existing work to automatically compute scale weights of dual-tree complex wavelet transform (DTCWT) coefficients to improve the performance in terms of detection of features as against discrete wavelets or its Fourier counterparts. Existing DTCWT coefficients give improved time-shifted sensitivity, better directional selectivity with local phase information and limited redundancy. However, the drawback of this method is that the results depend on appropriate selection of scale weights α and β, which are different for different scenes. The existing technique incorporates a rule of thumb-based recommended values of α and β, irrespective of the scene which generates too many key-points, making the registration process computationally intensive. As a real-time application, the need of the problem is to extract less number of strong features. Thus, an algorithmic approach to compute optimal values of scale weights considering precision and accuracy is proposed. The method is tested on various synthetic, simulated, and aerial images having different transformations and in the presence of noise between successive images. It is observed that DTCWT descriptor performs the best and gives better results than scale invariant feature transform and Speeded up robust features.
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| 7 |
ID:
110169
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| 8 |
ID:
142958
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| 9 |
ID:
097132
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| 10 |
ID:
167081
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| Summary/Abstract |
How do individuals on the battlefield respond to the introduction of new technologies? How will unmanned and increasingly autonomous technologies be received by ground combat personnel? In this paper we explore tactical-level perceptions of one particular technology—armed unmanned aerial vehicles (UAVs)—by conducting a survey experiment of ground fires controllers. Our findings reveal that these personnel have strong behavioral reactions to the introduction of unmanned technology. Especially in situations with high risk to ground troops, we find a strong preference for manned aircraft with implications for the future use of UAVs and human–machine relationships in war. These results suggest the need to incorporate behavioral variables into future studies of military adoption and innovation and indicate that the future adoption of unmanned systems may be just as much about the “warm fuzzy” of trust as confidence in unmanned capabilities.
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| 11 |
ID:
149821
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| Summary/Abstract |
Insurgent movements have proliferated in ungoverned spaces in the Middle East and beyond. Jonathan Spyer examines the ways in which these groups tactics are changing to accommodate the semi-conventional role that they are increasingly playing.
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| 12 |
ID:
122341
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| 13 |
ID:
137877
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| Summary/Abstract |
‘Make-in-India’ is the clarion call issued by Prime Minister Modi practically from the inception of the BJP government at the Centre. With each impressive electoral gain in the state elections held thus far, this call is being heard with increasing excitement — and, it must be said, with a fair amount of confusion as well, as the entrenched bureaucracy unaccustomedly struggles to match the lumbering speed of administrative-processes with the political whirlwind that is Narendra Modi.
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| 14 |
ID:
147182
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| 15 |
ID:
150630
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| 16 |
ID:
122275
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| 17 |
ID:
149012
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| Summary/Abstract |
This research compares 3D versus 4D (three spatial dimensions and the time dimension) multi-objective and multi-criteria path-planning for unmanned aerial vehicles in complex dynamic environments. In this study, we empirically analyse the performances of 3D and 4D path planning approaches. Using the empirical data, we show that the 4D approach is superior over the 3D approach especially in complex dynamic environments. The research model consisting of flight objectives and criteria is developed based on interviews with an experienced military UAV pilot and mission planner to establish realism and relevancy in unmanned aerial vehicle flight planning. Furthermore, this study incorporates one of the most comprehensive set of criteria identified during our literature search. The simulation results clearly show that the 4D path planning approach is able to provide solutions in complex dynamic environments in which the 3D approach could not find a solution.
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| 18 |
ID:
051917
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| 19 |
ID:
056806
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| 20 |
ID:
128709
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