مؤتمر
PDR and GPS trajectory parts matching for an improved self-contained personal navigation solution with handheld device
العنوان: | PDR and GPS trajectory parts matching for an improved self-contained personal navigation solution with handheld device |
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المؤلفون: | Inderst, Federica, Pascucci, Federica, Renaudin, Valerie |
المساهمون: | ENC, Inderst, Federica, Pascucci, Federica, Renaudin, Valerie |
بيانات النشر: | Institute of Electrical and Electronics Engineers Inc. |
سنة النشر: | 2017 |
مصطلحات موضوعية: | Control and Systems Engineering, Electrical and Electronic Engineering, Computer Science Applications1707 Computer Vision and Pattern Recognition, Aerospace Engineering |
الوصف: | The evolution of smartphones and their embedded sensors motivates research toward the development of handheld device based navigation solutions especially for harsh environments. In this context, Pedestrian Dead Reckoning is usually adopted to compute the pedestrian's trajectory. Step/stride lengths and walking directions are combined in a recursive process. Unfortunately the estimated path suffers from drifting errors due to the sensors' nature and the motion complexity. To reduce this error, map matching strategies are studied and several solutions are proposed in the literature. In this work a Matching Filter is proposed to mitigate the drifting errors. The Matching Filter is a nest filter based on an Extended Kalman Filter and a Complementary filter. The key idea is to match the PDR trajectory with the standalone GPS trajectory during opportune phases in order to estimate a global heading and scale factor errors on the PDR path. The proposed strategy is tested with a 1km walk in a shopping center. A 75% improvement is found as compared to the PDR only trajectory. |
نوع الوثيقة: | conference object |
اللغة: | English |
العلاقة: | info:eu-repo/semantics/altIdentifier/isbn/9781509059225; info:eu-repo/semantics/altIdentifier/wos/WOS:000414280900011; ispartofbook:2017 European Navigation Conference, ENC 2017; 2017 European Navigation Conference, ENC 2017; firstpage:100; lastpage:107; numberofpages:8; https://hdl.handle.net/11590/326773Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85027972736 |
DOI: | 10.1109/EURONAV.2017.7954198 |
الإتاحة: | https://doi.org/10.1109/EURONAV.2017.7954198Test https://hdl.handle.net/11590/326773Test |
رقم الانضمام: | edsbas.EAB45977 |
قاعدة البيانات: | BASE |
DOI: | 10.1109/EURONAV.2017.7954198 |
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