In prior works, the tasks of noise modeling and sensor characterization have typically been
studied independently of each other. In spite of extensive research on noise modeling and …

A major challenge in moving average (MA) estimation is the selection of an appropriate
averaging window length or timescale over which measurements remain relevant to the …

This paper describes a dynamical model-based method for the localization of road vehicles
using terrain data from the vehicle's onboard sensors. Road data are encoded using linear …

As the use of Big Data begins to dominate various scientific and engineering applications,
the ability to conduct complex data analyses with speed and efficiency has become …

Moving averages are widely used to estimate time-varying parameters, especially when the
underlying dynamic model is unknown or uncertain. However, the selection of the optimal …

This paper describes a novel method for the location of road vehicles using vehicle pitch
data obtained from on-board sensors. The method encodes the road map data using linear …

This paper proposes a model-based method to estimate lateral planar vehicle states using a
forward-looking monocular camera, a yaw rate gyroscope, and an a priori map of road …

The advancement of communication technologies in edge computing has led to progress in
various applications, including those that require vehicle-to-vehicle (V2V) and vehicle-to …

The localization of vehicles on roadways without the use of a GPS has been of great interest
in recent years and a number of solutions have been proposed for the same. The …

A new terrain‐inclination‐based localization technique is proposed in this paper to enable a
robot to identify its three‐dimensional location relative to measurable terrain inclinations …