The ability to simultaneously localize a robot and accurately map its surroundings is
considered by many to be a key prerequisite of truly autonomous robots. However, few …

In this paper we examine the role of very simple and noisy sensors for the tracking problem.
We propose a binary sensor model, where each sensor's value is converted reliably to one …

This monograph describes a new family of algorithms for the simultaneous localization and
map** (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have …

This paper addresses the problem of simultaneous localization and map** (SLAM) by a
mobile robot. The SLAM problem is defined as a global optimization problem in which the …

Mobile object tracking in wireless sensor networks (WSNs) has gained much attention
during recent years due to the special characteristics of these networks. Considering the …

The ability of finding its situation in a given environment is crucial for an autonomous agent.
While navigating through a space, a mobile robot must be capable of finding its location in a …

Simultaneous localization and map** (SLAM) is an important and challenging task for the
operation of autonomous mobile robots in which both the pose of the robot and features of …

Autonomous navigation in unknown environments has been the focus of attention in the
mobile robotics community for the last three decades. When neither the location of the robot …

A mode versus clarity dilemma exists in occupancy grid based robotic map**. This arises
as two general approaches have emerged in the domain with diametric operational modes …