This paper describes a method for localization estimation based on Extended Kalman filter
using an omnidirectional camera and a laser rangefinder. Laser rangefinder information is …

Localization is a critical issue in mobile vehicles. Mobile vehicles must know its position and
orientation in order to movement to reach the goals precisely. In this paper, we describe …

This paper presents a basic localization algorithm for the outdoor navigation system. The
algorithm uses cubature Kalman filter based on standard dead reckoning sensors and laser …

Localization is an estimate of vehicle position for a given environment. This work focuses on
the state estimation of a vehicle for localization functionality using the Schmidt Kalman filter …

This paper presents to study the sensor fusion of positioning sensors using UKF (unscented
Kalman filter) for positioning accuracy improvement of AGV (automatic guided vehicle). The …

For automatic navigation of autonomous vehicles, localization in real time is a key issue. In
this article, a simultaneous localization and mapping algorithm is proposed for an …

In this paper, we proposed a vision based global localization approach for intelligent
vehicles. A single camera is used to determine vehicle's lateral and longitudinal offsets with …

This paper proposes a localization system for autonomous vehicle via Kalman filtering.
Absolute positioning is required to obtain successful operation of an autonomous vehicle's …

Most localization algorithms use a range sensor or vision in a horizontal view, which usually
imparts some disruption from a dynamic or static obstacle. By using landmarks on ceiling …

A vehicle localization system can be extremely useful for intelligent transformation systems
(ITS) such as advanced driver assistance systems (ADASs), emergency vehicle notification …