| 000 | 02018cam a2200325 a 4500 | ||
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| 008 | 181126s2018 ua dh f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.13.06.M.Sc.2018.Is.T | ||
| 100 | 0 | _aIslam Alaa Eldin Mustafa Ali | |
| 245 | 1 | 0 |
_aTowards A non-aided monocular visual odometry system / _cIslam Alaa Eldin Mustafa Ali ; Supervised Amr Galaleldin Ahmed Wassal |
| 246 | 1 | 5 | _aنحو نظام رؤية أحادي لتحديد المسافات بدون مساعدة أخري |
| 260 |
_aCairo : _bIslam Alaa Eldin Mustafa Ali , _c2018 |
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_a212 P. : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering | ||
| 520 | _aRecently, a huge attention is given to vision-based solutions in a wide range of applications including robotics, smart driving among others. One category of such solutions is visual odometry (VO), which is the process of estimating the complete body/camera pose using the images captured by the camera. In this thesis, previous e orts exerted in VO and its tuning are reviewed and criticized qualitatively. Moreover, a generic framework for testing, evaluating, and rapid prototyping of such systems is provided. Consequently, this framework is used to analyze the impact VO parameters on the pose estimation performance both from the accuracy point of view as well as the time complexity. Finally, a novel method for enhancing the performance of monocular VO is proposed with the intent of reaching a non-aided vision-based solution | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aComputer Vision | |
| 653 | 4 | _aRobots Vision | |
| 653 | 4 | _aVisual Odometry | |
| 700 | 0 |
_aAmr Galaleldin Ahmed Wassal , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
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_aNazla _eRevisor |
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_aShimaa _eCataloger |
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