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ICRA
2005
IEEE
167views Robotics» more  ICRA 2005»
13 years 10 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...
RAS
2006
151views more  RAS 2006»
13 years 4 months ago
Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT
The Scale Invariant Feature Transform, SIFT, has been successfully applied to robot localization. Still, the number of features extracted with this approach is immense, especially...
Hashem Tamimi, Henrik Andreasson, André Tre...
ICRA
2007
IEEE
128views Robotics» more  ICRA 2007»
13 years 10 months ago
Leader-Follower Formations: Uncalibrated Vision-Based Localization and Control
— This paper focuses on leader-follower formations of mobile robots equipped with panoramic cameras and extend earlier works in the literature addressing both the visionbased loc...
Gian Luca Mariottini, Fabio Morbidi, Domenico Prat...
ICPR
2002
IEEE
14 years 5 months ago
Mobile Robot Localization Under Varying Illumination
Methods for mobile robot localization that use eigenspaces of panoramic snapshots of the environment are in general sensitive to changes in the illumination of the environment. Th...
Matjaz Jogan, Ales Leonardis, Horst Wildenauer, Ho...
EUROS
2006
224views Robotics» more  EUROS 2006»
13 years 8 months ago
Metric Localization with Scale-Invariant Visual Features Using a Single Perspective Camera
Abstract. The Scale Invariant Feature Transform (SIFT) has become a popular feature extractor for vision-based applications. It has been successfully applied to metric localization...
Maren Bennewitz, Cyrill Stachniss, Wolfram Burgard...