Maintaining gps position in urban areas for precise road navigation using the integration of gps/low-cost imu constrained in the existing of digital map / Ahmad Muhamad Senousi Ahmad ; Supervised Mohamed Safwat Mohamed Elhussainy , Adel H. Elshazly , Mahmoud Farag Abdelrahman Abdrabbou
Material type: TextLanguage: English Publication details: Cairo : Ahmad Muhamad Senousi Ahmad , 2017Description: 112 P. : charts , facsimiles ; 30cmOther title:- المحافظة على الموقع المحدد بأجهزة الرصد على الأقمار الصناعية داخل المناطق السكنية لاستخدامه في ملاحة الطرق باستخدام التكامل بين أرصاد الاقمار الصناعية ووحدة القصور الذاتي منخفضة التكلفة في وجود الخرائط الرقمية كمحددات خارجية [Added title page title]
- Issued also as CD
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.05.M.Sc.2017.Ah.M (Browse shelf(Opens below)) | Not for loan | 01010110074257000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.05.M.Sc.2017.Ah.M (Browse shelf(Opens below)) | 74257.CD | Not for loan | 01020110074257000 |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering
The work provided in this thesis dealt with comprehensive evaluation of performance of a proposed GPS/INS/Map integration for Land Vehicle Navigation System. The motivation behind utilizing an integrated system for LVNS is that Land vehicle navigation is primarily dependent upon GPS which provides accurate positioning and navigation capabilities in ideal conditions under open sky environment. This situation sometimes changes dramatically in urban and rural canyons where GPS accuracy degrades, and in some cases, to an extent that it is no longer reliable, and thus continuous positioning is not possible through system based only on GPS. So, GPS/INS/Digital Map Integration algorithm was provided to impose constraints on navigation solution by using Kalman filter estimation to combine the three navigation systems
Issued also as CD
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