| 000 | 00824cam a2200121 4500 | ||
|---|---|---|---|
| 100 | 1 | _aZAHRAN Shady | |
| 245 |
_aHybrid machine learning VDM for UAV's in GNSS denied environment/ _cShady Zahran |
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| 260 | _c2018 | ||
| 520 | _aThis paper presents a novel approach to enhance unmanned aerial vehicle (UAV) autonomous navigation. UAVs play an important role in a wide variety of activities in different fields of military and civilian applications. Researchers have focused their efforts in different categories of research areas to achieve a fully automated UAV in different circumstances and environments such as sensor fusion, communication, path planning, and trajectory generation. | ||
| 650 | _aUNMANNED AERIAL VEHICLE (UAV) | ||
| 773 | _aNavigation : Vol 65 No 3, Fall 2018, pp.477-492 (43) | ||
| 945 |
_i61894-1001 _rY _sY |
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| 999 |
_c37085 _d37085 |
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