Abstract Accurate vehicle positioning information is essential reliable operation of advanced driver assistance systems (ADAS). Conventionally, fusing information by attaching an inertial measurement unit (IMU) to the outside of the vehicle with GPS is widely used for this purpose. However, because a linear tire model is used as the dynamic model for positioning estimation, most methods have lo...

The problem of estimating the position of an edge from a series of samples often occurs in the fields of machine vision and signal processing. It is therefore of interest to assess the accuracy of any estimation algorithm. Previous work in this area has produced bounds for the continuous time estimator. In this paper we derive a closed form for the minimum variance bound (or Cramer Rao bound) f...

Recursive hierarchy provides a framework for extending position estimation throughout a sensor network. Given imprecise ranging and inter-node communication, nodes scattered throughout a large volume can estimate their physical locations from a small set of reference nodes using only local information. System coverage increases iteratively, as nodes with newly estimated positions join the refer...

This paper proposes a solution to the problem of velocity and position estimation for a class of oscillating systems whose position, velocity and acceleration are zero mean signals. The proposed scheme considers that the dynamic model of the system is unknown and only noisy acceleration measurements are available.

A novel sensorless control scheme for Permanent Magnet Synchronous Motor (PMSM) is presented. The rotor position estimation is obtained by the position perturbation algorithm, and high performance of the PMSM is achieved by using the vector control technique. DSP56005 is used to realize the position estimation and vecor control algorithms. Experimental results are presented to substantiate the ...

This paper revisits the problems of estimating the position of an object moving in n (≥ 2)-dimensional Euclidean space using velocity measurements and either direction or range measurements of one or multiple source points. The proposed solutions exploit the Continuous Riccati Equation (CRE) to calculate observer gains yielding global uniform exponential stability of zero estimation errors, als...

The real time estimation of ship motion is considered in this paper. The problem is viewed as an estimatiod prediction problem for partially unknown systems. A neural estimator based on a dynamic recurrent neural network is considered. The model that describes the ship motion dynamics is presented, and the neural algorithm is tested and evaluated via extensive simulations. The results show that...

In order to monitor a robot's position, traditional techniques have used a model of the environment and a 2D view (image) of the scene from the current position of the robot. These techniques require either a fairly accurate 3D scene model or noisy 3D models with a reliable estimate of the model noise. Since it is dii-cult either to automatically obtain accurate 3D models or to reliably estimat...

This paper describes the improved Wi-Fi AP position estimation method for building more accurate Wi-Fi AP position DB in complex indoor signal propagation environment. One of our pro Fi AP by using indoor survey for higher Wi-Fi AP position accuracy. Our contribution focuses on the Wi-Fi AP position estimation method. In previous works, there were several methods for Wi-Fi AP position estimatio...