Logistics is an important driver for the competitiveness of industries and material supply. The
development of smart logistics, powered by precise positioning and communication …

In recent years, particle filters have solved several hard perceptual problems in robotics.
Early successes of particle filters were limited to low-dimensional estimation problems, such …

Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

Mobile robot localization is the problem of determining a robot's pose from sensor data. This
article presents a family of probabilistic localization algorithms known as Monte Carlo …

Over the past few years, particle filters have been applied with great success to a variety of
state estimation problems. In this paper we present a statistical approach to increasing the …

Many urban navigation applications (eg, au-tonomous navigation, driver assistance
systems) can benefit greatly from localization with centimeter accuracy. Yet such accuracy …

Over the last years, particle filters have been applied with great success to a variety of state
estimation problems. We present a statistical approach to increasing the efficiency of particle …

We analyze whether radio frequency identification (RFID) technology can be used to
improve the localization of mobile robots and persons in their environment. In particular we …

We demonstrate a system built using probabilistic techniques that allows for remarkably
accurate localization across our entire office building using nothing more than the built-in …

The need for accurate, fast, and reliable indoor localization using wireless sensor networks
(WSNs) has recently grown in diverse areas of industry. Accurate localization in cluttered …