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» Feature Based Condensation for Mobile Robot Localization
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EUROS
2006
224views Robotics» more  EUROS 2006»
15 years 1 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...
ICRA
2007
IEEE
180views Robotics» more  ICRA 2007»
15 years 3 months ago
Mobile Sensor Networks Self Localization based on Multi-dimensional Scaling
— In this paper, we define a mobile self-localization (MSL) problem for sparse mobile sensor networks, and propose an algorithm named Mobility Assisted MDS-MAP(P), based on Mult...
Changhua Wu, Weihua Sheng, Ying Zhang
92
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RAS
2006
151views more  RAS 2006»
14 years 9 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...
ROBIO
2006
IEEE
121views Robotics» more  ROBIO 2006»
15 years 3 months ago
Behaviour Cooperation by Negation for Mobile Robots
— This article presents a behavioural architecture, the Survival Kit (SK), which allows behaviours to cast their multivalued output by means of constraints over an ’action feat...
Pedro Santana, Luís Correia
ISER
2004
Springer
158views Robotics» more  ISER 2004»
15 years 2 months ago
Topological Global Localization and Mapping with Fingerprints and Uncertainty
Navigation in unknown or partially unknown environments remains one of the biggest challenges in today's mobile robotics. Environmental modeling, perception, localization and ...
Adriana Tapus, Nicola Tomatis, Roland Siegwart