Mobile robots must have some effective method for determining their position in the working environment in order to operate appropriately. In this paper, precise outdoor positioning of a vehicle is achieved by continuously fusing odometry with wide-area Differential Global Positioning System (DGPS) data through a Kalman filter. The propagation and reduction of spatial uncertainty is computed to...

This project work presents the sensor fusion of Global Positioning System (GPS), Inertial Measurement Unit (IMU) and Odometry data from wheel encoders which is used to estimate localization of mobile robot. GPS, IMU, Wheel encoders are interfaced with MBED. Filters are used to remove erroneous noise from the data obtained from sensors. Low pass IIR filter is used for Differential Global Positio...

In this study livestock distribution on the landscape was mapped during two seasons, summer and winter, for two years to determine where livestock congregate and to model factors that influence livestock distribution. Two small herds of cows were observed in separate range units on the San Joaquin Experimental Range for a total of twenty-four 24-hour observation periods to ascertain daily movem...

This study measures the uplift rates of a flight of marine terraces along the Glenafric coastal region of the South Island of New Zealand, which will provide a context for how local fold growth in the North Canterbury fold and thrust belt (NCFTB) contributes to local uplift rates. Several methods were used to measure uplift rate of the marine terraces: 1) collecting shell samples for AAR dating...

The problem of Uncertainty Quantification (UQ) is paramount importance when Machine Learning (ML) and Deep (DL) models are deployed in the real world. In context safety-critical applications, such as prediction Remaining Useful-Life (RUL) infrastructure industrial assets, relevance effective UQ approaches even higher, given potentially catastrophic consequences or substantial costs associated w...

This work presents a new efficient positioning module that operates over client-server LBS architectures. The aim of the proposed module is to fulfil the position information requirements for LBS pedestrian applications by ensuring the availability of reliable, highly accurate and precise position solutions based on GPS single frequency (L1) positioning service. The positioning module operates ...

If both Reference Station (RS) and navigational device in Differential Global Positioning System (DGPS) receive signals from the same satellite, RS Position Components Error (RPCE) can be used to compensate for navigational device error. This research used hybrid method for RPCE prediction which was collected by a low-cost GPS receiver. It is a combination of Genetic Algorithm (GA) computing an...