{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T04:36:43Z","timestamp":1719463003620},"reference-count":25,"publisher":"Cambridge University Press (CUP)","issue":"3","license":[{"start":{"date-parts":[[2012,7,26]],"date-time":"2012-07-26T00:00:00Z","timestamp":1343260800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotica"],"published-print":{"date-parts":[[2013,5]]},"abstract":"<jats:title>SUMMARY<\/jats:title><jats:p>This paper proposes a precise outdoor localization algorithm with the integration of Global Positioning System (GPS) and Inertial Navigation System (INS). To achieve precise outdoor localization, two schemes are recently proposed, which consist of de-noising the INS signals and fusing the GPS and INS data. To reduce the noise from the internal INS sensors, the discrete wavelet transform and variable threshold method are utilized, and to fuse the GPS and INS data while filtering out the noise caused by the acceleration, deceleration, and unexpected slips, the Unscented Particle Filter (UPF) is adopted. Conventional de-noising methods mainly employ a combination of low-pass and high-pass filters, which results in signal distortion. This newly proposed system also utilizes the vibration information of the actuator according to the fluctuations of the velocity to minimize the signal distortion. The UPF resolves the nonlinearities of the actuator and non-normal distributions of the noise more effectively than the conventional particle filter (PF) or Extended Kalman Filter\u2013PF. The superiority of the proposed algorithm was verified through experiments, and the results are reported.<\/jats:p>","DOI":"10.1017\/s0263574712000379","type":"journal-article","created":{"date-parts":[[2012,7,26]],"date-time":"2012-07-26T08:12:38Z","timestamp":1343290358000},"page":"371-379","source":"Crossref","is-referenced-by-count":9,"title":["Precise outdoor localization with a GPS\u2013INS integration system"],"prefix":"10.1017","volume":"31","author":[{"given":"Wonkyo","family":"Seo","sequence":"first","affiliation":[]},{"given":"Seoyoung","family":"Hwang","sequence":"additional","affiliation":[]},{"given":"Jaehyun","family":"Park","sequence":"additional","affiliation":[]},{"given":"Jang-Myung","family":"Lee","sequence":"additional","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2012,7,26]]},"reference":[{"key":"S0263574712000379_ref3","first-page":"153","article-title":"Land vehicle navigation with the integration of GPS and reduced INS: Performance improvement with velocity aiding","volume":"63","author":"Han","year":"2010","journal-title":"Robotica"},{"key":"S0263574712000379_ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IMTC.2008.4547021"},{"key":"S0263574712000379_ref19","doi-asserted-by":"publisher","DOI":"10.1109\/PLANS.2010.5507277"},{"key":"S0263574712000379_ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2007.364000"},{"key":"S0263574712000379_ref25","doi-asserted-by":"publisher","DOI":"10.1088\/0957-0233\/18\/7\/016"},{"key":"S0263574712000379_ref13","first-page":"327","article-title":"Rao-blackwellized unscented particle filter for a handheld unexploded ordnance geolocation system using IMU\/GPS","volume":"64","author":"Lee","year":"2011","journal-title":"Robotica"},{"key":"S0263574712000379_ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3584-3"},{"key":"S0263574712000379_ref21","first-page":"1","volume-title":"Proceedings of the 2nd International Congress on Image and Signal Processing, 2009 (CISP '09)","author":"Yang","year":"2009"},{"key":"S0263574712000379_ref5","volume-title":"INS\/GPS Technology Trends","author":"Schmidt","year":"2009"},{"key":"S0263574712000379_ref10","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.1109\/TRO.2009.2026506","article-title":"Kinematic modeling and analysis of skid-steered mobile robots with applications to low-cost inertial-measurement-unit-based motion estimation","volume":"25","author":"Yi","year":"2009","journal-title":"IEEE Trans. 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