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ROBOCUP
2000
Springer
145views Robotics» more  ROBOCUP 2000»
13 years 11 months ago
Adaptive Path Planner for Highly Dynamic Environments
Abstract. This paper describes adaptive path planning, a novel approach to path planning for car-like mobile robots. Instead of creating a new plan from scratch, whenever changes i...
Jacky Baltes, Nicholas Hildreth
IROS
2006
IEEE
164views Robotics» more  IROS 2006»
14 years 1 months ago
SLAM using Visual Scan-Matching with Distinguishable 3D Points
— Scan-matching based on data from a laser scanner is frequently used for mapping and localization. This paper presents an scan-matching approach based instead on visual informat...
Federico Bertolli, Patric Jensfelt, Henrik I. Chri...
RAS
2008
139views more  RAS 2008»
13 years 7 months ago
Unsupervised identification of useful visual landmarks using multiple segmentations and top-down feedback
In this paper, we tackle the problem of unsupervised selection and posterior recognition of visual landmarks in images sequences acquired by an indoor mobile robot. This is a high...
Pablo Espinace, Daniel Langdon, Alvaro Soto
ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
14 years 1 months ago
Supervised Learning of Places from Range Data using AdaBoost
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...
Óscar Martínez Mozos, Cyrill Stachni...
TROB
2008
123views more  TROB 2008»
13 years 7 months ago
iSAM: Incremental Smoothing and Mapping
We present incremental smoothing and mapping (iSAM), a novel approach to the simultaneous localization and mapping problem that is based on fast incremental matrix factorization. i...
Michael Kaess, Ananth Ranganathan, Frank Dellaert