Sciweavers

AAAI
2000
14 years 7 days ago
Monte Carlo Localization with Mixture Proposal Distribution
Monte Carlo localization (MCL) is a Bayesian algorithm for mobile robot localization based on particle filters, which has enjoyed great practical success. This paper points out a ...
Sebastian Thrun, Dieter Fox, Wolfram Burgard
FLAIRS
2007
14 years 1 months ago
Exploiting MindStorms NXT: Mapping and Localization Projects for the AI Course
1 This paper describes two major student projects for the artificial intelligence course – Mapping using Bayesian filter and Monte Carlo Localization. These projects are also sui...
Myles F. McNally, Frank Klassner, Christopher Cont...
ICRA
2000
IEEE
99views Robotics» more  ICRA 2000»
14 years 3 months ago
Sensor Resetting Localization for Poorly Modelled Mobile Robots
We present a new localization algorithm called Sensor Resetting Localization which is an extension of Monte Carlo Localization. The algorithm adds sensor based resampling to Monte...
Scott Lenser, Manuela M. Veloso
ICRA
2002
IEEE
126views Robotics» more  ICRA 2002»
14 years 3 months ago
Uniform Monte Carlo Localization - Fast and Robust Self-Localization Method for Mobile Robots
In this paper, we describe a novel self-localizationalgorithm. Self-Localizationmethods are required for to lowercomputational costand handling vague sensordata. Thus, we propose ...
Ryuichi Ueda, Takeshi Fukase, Yuichi Kobayashi, Ta...
ROBOCUP
2004
Springer
93views Robotics» more  ROBOCUP 2004»
14 years 4 months ago
Visual Tracking and Localization of a Small Domestic Robot
Abstract. We investigate the application of a Monte Carlo localization filter to the problem of combining local and global observations of a small, off-the-shelf quadruped domest...
Raymond Sheh, Geoff A. W. West
MOBICOM
2004
ACM
14 years 4 months ago
Localization for mobile sensor networks
Many sensor network applications require location awareness, but it is often too expensive to include a GPS receiver in a sensor network node. Hence, localization schemes for sens...
Lingxuan Hu, David Evans
ROBOCUP
2005
Springer
164views Robotics» more  ROBOCUP 2005»
14 years 4 months ago
Laser-Based Localization with Sparse Landmarks
Abstract. Self-localization in dynamic environments is a central problem in mobile robotics and is well studied in the literature. One of the most popular methods is the Monte Carl...
Andreas Strack, Alexander Ferrein, Gerhard Lakemey...
ICRA
2005
IEEE
167views Robotics» more  ICRA 2005»
14 years 4 months ago
Localization for Mobile Robots using Panoramic Vision, Local Features and Particle Filter
— In this paper we present a vision-based approach to self-localization that uses a novel scheme to integrate featurebased matching of panoramic images with Monte Carlo localizat...
Henrik Andreasson, André Treptow, Tom Ducke...
IROS
2006
IEEE
110views Robotics» more  IROS 2006»
14 years 4 months ago
Robust Self-Localization in Industrial Environments based on 3D Ceiling Structures
- This paper introduces a new perceptual model for Monte Carlo Localization (MCL). In our approach a 3D laser scanner is used to observe the ceiling. The MCL matches ceiling struct...
Oliver Wulf, Daniel Lecking, Bernardo Wagner
IROS
2007
IEEE
90views Robotics» more  IROS 2007»
14 years 5 months ago
Improved likelihood models for probabilistic localization based on range scans
— Range sensors are popular for localization since they directly measure the geometry of the local environment. Another distinct benefit is their typically high accuracy and spa...
Patrick Pfaff, Christian Plagemann, Wolfram Burgar...