Orientation Tracking for Humans and Robots Using Inertial Sensors

Proc. of 1999 International Symposium on Computational Intelligence in Robotics and Automation, Monterey, CA, December, 1999, pp. 187-194.Accepted/Published Conference Pape

Evaluation of an integrated GPS/INS system for shallow-water AUV navigation (SANS)

Many possible Autonomous Underwater Vehicle (AUV) missions require a high degree of navigutional accuracy. The Global Positioning System (GPS) is capable of providing this accuracy. However, intermittent reception caused by either wave action or deliberate submergence will cause the loss of GPS position fix information for periods extending from several seconds to minutes. The SANS system is designed to demonstrate the feasibility of using a low-cost strapped-clown Inertial Measurement Unit (IMU) to navigate between GPS fixes. It is anticipated that navigational accuracy comparable to GPS is possible between fixes.This research was supported in part by the National Science Foundation under Grant BCS- 9306252 to the Naval Postgraduate School

An Experimental Study of an Integrated GPS/INS System for Shallow-Water AUV Navigation (SANS)

The Naval Postgraduate School's "Phoenix" AUV has thus far been operated only in a test pool environment. In preparation for open water testing, currently planned for mid-1996, a series of towfish experiments are being conducted in Monterey Bay to investigate the feasibility of integrated GPS/INS transit mode navigation, in significant sea states, using a GPS antenna mounted only a few inches above the AUV body. In this configuration, either wave action or deliberate submergence will cause loss of GPS position fix information for periods extending from several seconds to a few minutes. The main research question being investigated is, therefore, to determine whether or not a low cost strapped down IMU can be used to navigate accurately between GPS fixes. Our goal is to achieve inertial navigation accuracy comparable to GPS accuracy during periods between successive GPS fixes. Experimental results reported in this paper indicate that this is feasible

Development of a Web-Based Prediction System for Wheat Stripe Rust

International audienceA web-based prediction system for wheat stripe rust was developed based on B/S (Browser/Server) mode in this study. Some existing prediction models of wheat stripe rust were collected, analyzed and then stored in SQL Server 2005 database according to certain rules. All these models could be called through this web-based system and used to predict wheat stripe rust. Meanwhile, Using multiple regression analysis principle, prediction regression model could be built based on the input historical data of wheat stripe rust through the network programming via this system, and significance tests of prediction factors could be conducted to obtain optimal prediction model and the built model could be stored into the model database for further prediction of this disease. Using WebGIS technologies, the prediction results of wheat stripe rust could be displayed in different colors in the web map according to the prediction values of disease prevalence. The web-based prediction system for wheat stripe rust developed in this study provided a convenient and fast way for the prediction of wheat stripe rust