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Items: 1 to 20 of 178


New calibration method using low cost MEM IMUs to verify the performance of UAV-borne MMS payloads.

Chiang KW, Tsai ML, Naser el-S, Habib A, Chu CH.

Sensors (Basel). 2015 Mar 19;15(3):6560-85. doi: 10.3390/s150306560.


Real-time single-frequency GPS/MEMS-IMU attitude determination of lightweight UAVs.

Eling C, Klingbeil L, Kuhlmann H.

Sensors (Basel). 2015 Oct 16;15(10):26212-35. doi: 10.3390/s151026212.


Development and Evaluation of a UAV-Photogrammetry System for Precise 3D Environmental Modeling.

Shahbazi M, Sohn G, Théau J, Menard P.

Sensors (Basel). 2015 Oct 30;15(11):27493-524. doi: 10.3390/s151127493.


Tightly coupled low cost 3D RISS/GPS integration using a mixture particle filter for vehicular navigation.

Georgy J, Noureldin A.

Sensors (Basel). 2011;11(4):4244-76. doi: 10.3390/s110404244. Epub 2011 Apr 8.


Intelligent sensor positioning and orientation through constructive neural network-embedded INS/GPS integration algorithms.

Chiang KW, Chang HW.

Sensors (Basel). 2010;10(10):9252-85. doi: 10.3390/s101009252. Epub 2010 Oct 15.


Multi-Unmanned Aerial Vehicle (UAV) Cooperative Fault Detection Employing Differential Global Positioning (DGPS), Inertial and Vision Sensors.

Heredia G, Caballero F, Maza I, Merino L, Viguria A, Ollero A.

Sensors (Basel). 2009;9(9):7566-79. doi: 10.3390/s90907566. Epub 2009 Sep 24.


Performance analysis on carrier phase-based tightly-coupled GPS/BDS/INS integration in GNSS degraded and denied environments.

Han H, Wang J, Wang J, Tan X.

Sensors (Basel). 2015 Apr 14;15(4):8685-711. doi: 10.3390/s150408685.


An Artificial Neural Network Embedded Position and Orientation Determination Algorithm for Low Cost MEMS INS/GPS Integrated Sensors.

Chiang KW, Chang HW, Li CY, Huang YW.

Sensors (Basel). 2009;9(4):2586-610. doi: 10.3390/s90402586. Epub 2009 Apr 15.


On-line smoothing for an integrated navigation system with low-cost MEMS inertial sensors.

Chiang KW, Duong TT, Liao JK, Lai YC, Chang CC, Cai JM, Huang SC.

Sensors (Basel). 2012 Dec 13;12(12):17372-89. doi: 10.3390/s121217372.


Inertial aided cycle slip detection and identification for integrated PPP GPS and INS.

Du S, Gao Y.

Sensors (Basel). 2012 Oct 25;12(11):14344-62. doi: 10.3390/s121114344.


Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera.

Rosnell T, Honkavaara E.

Sensors (Basel). 2012;12(1):453-80. doi: 10.3390/s120100453. Epub 2012 Jan 4.


Enabling UAV Navigation with Sensor and Environmental Uncertainty in Cluttered and GPS-Denied Environments.

Vanegas F, Gonzalez F.

Sensors (Basel). 2016 May 10;16(5). pii: E666. doi: 10.3390/s16050666.


Integration of GPS precise point positioning and MEMS-based INS using unscented particle filter.

Abd Rabbou M, El-Rabbany A.

Sensors (Basel). 2015 Mar 25;15(4):7228-45. doi: 10.3390/s150407228.


A comparison between different error modeling of MEMS applied to GPS/INS integrated systems.

Quinchia AG, Falco G, Falletti E, Dovis F, Ferrer C.

Sensors (Basel). 2013 Jul 24;13(8):9549-88. doi: 10.3390/s130809549.


UAV-guided navigation for ground robot tele-operation in a military reconnaissance environment.

Chen JY.

Ergonomics. 2010 Aug;53(8):940-50. doi: 10.1080/00140139.2010.500404.


Feasibility of Using Synthetic Aperture Radar to Aid UAV Navigation.

Nitti DO, Bovenga F, Chiaradia MT, Greco M, Pinelli G.

Sensors (Basel). 2015 Jul 28;15(8):18334-59. doi: 10.3390/s150818334.


Accuracy assessment of the integration of GNSS and a MEMS IMU in a terrestrial platform.

Madeira S, Yan W, Bastos L, Gonçalves JA.

Sensors (Basel). 2014 Nov 4;14(11):20866-81. doi: 10.3390/s141120866.


Configuration and specifications of an Unmanned Aerial Vehicle (UAV) for early site specific weed management.

Torres-Sánchez J, López-Granados F, De Castro AI, Peña-Barragán JM.

PLoS One. 2013;8(3):e58210. doi: 10.1371/journal.pone.0058210. Epub 2013 Mar 6.

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