Adaptive sampling and reduced-order modeling of dynamic processes by robot teams
This letter presents a strategy to enable a team of mobile robots to adaptively sample and
track a dynamic process. We propose a distributed strategy, where robots collect sparse …
track a dynamic process. We propose a distributed strategy, where robots collect sparse …
Integrating on-board diagnostics speed data with sparse GPS measurements for vehicle trajectory estimation
We evaluate the integration of on-board diagnostics (OBD) speed measurements with
sparse and/or missing GPS data for vehicle trajectory estimation using an extended Kalman …
sparse and/or missing GPS data for vehicle trajectory estimation using an extended Kalman …
Efficient parametric signal estimation from samples with location errors
We introduce an iterative linear estimator (ILE) for estimating a signal from samples having
location errors and additive noise. We assume that the signals lie in the span of a finite basis …
location errors and additive noise. We assume that the signals lie in the span of a finite basis …
[PDF][PDF] Adaptive Sampling and Energy Efficient Navigation in Time-Varying Flows
This work presents a strategy to enable a team of mobile robots to adaptively sample and
track a dynamic spatio-temporal process. We propose a distributed strategy, where robots …
track a dynamic spatio-temporal process. We propose a distributed strategy, where robots …
[PDF][PDF] Efficient Parametric Signal Estimation from Samples with Location Errors
SE Sarma - Citeseer
We introduce an iterative linear estimator (ILE) for estimating a signal from samples having
location errors and additive noise. We assume that the signals lie in the span of a finite basis …
location errors and additive noise. We assume that the signals lie in the span of a finite basis …