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 …
D Fox - The international Journal of robotics research, 2003 - journals.sagepub.com
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 …
J Levinson, M Montemerlo, S Thrun - Robotics: science and systems, 2007 - direct.mit.edu
Many urban navigation applications (eg, au-tonomous navigation, driver assistance systems) can benefit greatly from localization with centimeter accuracy. Yet such accuracy …
D Fox - Advances in neural information processing systems, 2001 - proceedings.neurips.cc
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 …
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 …
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 …
A Haeberlen, E Flannery, AM Ladd, A Rudys… - Proceedings of the 10th …, 2004 - dl.acm.org
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 …