The technical challenge of creating a self-driving vehicle remains an open problem despite
significant advancements from universities, car manufacturers, and technology companies …

The Kalman filter is a common state of charge estimation algorithm for lithium-ion cells.
Since its first introduction in the application of lithium-ion cells, different implementations of …

Low-cost GPS receivers provide geodetic positioning information using the NMEA protocol,
usually with eight digits for latitude and nine digits for longitude. When these geodetic …

In the development of advanced driver-assist systems (ADAS) for lane-keeping or cornering,
one important design objective is to appropriately share the steering control with the driver …

In this paper, a robustness metric and a sensitivity metric have been defined, which can be
used to determine a suitable combination of the filter tuning parameters of the extended …

Accurate detection of vehicle position plays an important role in many intelligent
transportation systems, especially vehicle-to-vehicle applications. In this paper, we propose …

Vehicle modeling is an essential part of controller design and validation. This is especially
true for model-based control design approaches, such as model-predictive control (MPC) …

In various applications, the extended Kalman filter (EKF) has been vital in estimating a
vehicle's translational and angular motion in 3-dimensional (3D) space. It is also essential …

Kalman filter is a well-known estimator. For a target tracking scenario, the filter needs two
input parameters. These parameters are called process noise covariance and measurement …

Advances in hardware design have made wheeled mobile robots (WMRs) exceptionally
mobile. To fully exploit this mobility, WMR planning, control, and estimation systems require …