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1,451
Estimating Landmark Locations from Geo-Referenced Photographs
"... Abstract — The problem of estimating the positions of landmarks using a mobile robot equipped with a camera has intensively been studied in the past. In this paper, we consider a variant of this problem in which the robot should estimate the locations of observed landmarks based on a sparse set of g ..."
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Cited by 2 (0 self)
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Abstract — The problem of estimating the positions of landmarks using a mobile robot equipped with a camera has intensively been studied in the past. In this paper, we consider a variant of this problem in which the robot should estimate the locations of observed landmarks based on a sparse set
FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem
- In Proceedings of the AAAI National Conference on Artificial Intelligence
, 2002
"... The ability to simultaneously localize a robot and accurately map its surroundings is considered by many to be a key prerequisite of truly autonomous robots. However, few approaches to this problem scale up to handle the very large number of landmarks present in real environments. Kalman filter-base ..."
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Cited by 599 (10 self)
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-based algorithms, for example, require time quadratic in the number of landmarks to incorporate each sensor observation. This paper presents FastSLAM, an algorithm that recursively estimates the full posterior distribution over robot pose and landmark locations, yet scales logarithmically with the number
Predicting tongue shapes from a few landmark locations
- In Proc. Interspeech
, 2008
"... We present a method for predicting the midsagittal tongue contour from the locations of a few landmarks (metal pellets) on the tongue surface, as used in articulatory databases such as MOCHA and the Wisconsin XRDB. Our method learns a mapping using ground-truth tongue contours derived from ultrasoun ..."
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Cited by 13 (7 self)
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We present a method for predicting the midsagittal tongue contour from the locations of a few landmarks (metal pellets) on the tongue surface, as used in articulatory databases such as MOCHA and the Wisconsin XRDB. Our method learns a mapping using ground-truth tongue contours derived from
A solution to the simultaneous localization and map building (SLAM) problem
- IEEE Transactions on Robotics and Automation
, 2001
"... Abstract—The simultaneous localization and map building (SLAM) problem asks if it is possible for an autonomous vehicle to start in an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute absolute vehicle ..."
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Cited by 505 (30 self)
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Abstract—The simultaneous localization and map building (SLAM) problem asks if it is possible for an autonomous vehicle to start in an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute absolute vehicle
Halfa century of research on the Stroop effect: An integrative review
- PsychologicalBulletin
, 1991
"... The literature on interference in the Stroop Color-Word Task, covering over 50 years and some 400 studies, is organized and reviewed. In so doing, a set ofl 8 reliable empirical findings is isolated that must be captured by any successful theory of the Stroop effect. Existing theoretical positions a ..."
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Cited by 666 (14 self)
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dimensions are likely to be more successful than are earlier theories attempting to locate a single bottleneck in attention. In 1935, J. R. Stroop published his landmark article on attention and interference, an article more influential now than it was then. Why has the Stroop task continued to fascinate us
Manchester, M13 9PT. Automatic Morphological Landmark Location using Local Image Patch Registration
"... We propose a system for automatic identification of morphological landmarks in 3D medical image volumes. The system will be implemented as a software package comprising three components: a manual landmark identification tool, allowing the generation of training data; a global registration tool, allo ..."
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, allowing alignment of new image volumes with volumes in the training data, in order to provide approximate, initial landmark locations; and a local registration tool, which will refine the approximate landmark locations using correlation between image patches around each landmark. This report deals
A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots
- Machine Learning
, 1998
"... . This paper addresses the problem of building large-scale geometric maps of indoor environments with mobile robots. It poses the map building problem as a constrained, probabilistic maximum-likelihood estimation problem. It then devises a practical algorithm for generating the most likely map from ..."
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Cited by 483 (43 self)
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estimation, positioning, probabilistic reasoning 1. Introduction Over the last two decades or so, the problem of acquiring maps in indoor environments has received considerable attention in the mobile robotics community. The problem of map building is the problem of determining the location of entities
Improving public transit accessibility for blind riders by crowdsourcing bus stop landmark locations with Google Street View
- In ASSETS ’13
, 2013
"... Low-vision and blind bus riders often rely on known physical landmarks to help locate and verify bus stop locations (e.g., by searching for a shelter, bench, newspaper bin). However, there are currently few, if any, methods to determine this information a priori via computational tools or services. ..."
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Cited by 4 (1 self)
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Low-vision and blind bus riders often rely on known physical landmarks to help locate and verify bus stop locations (e.g., by searching for a shelter, bench, newspaper bin). However, there are currently few, if any, methods to determine this information a priori via computational tools or services
Consistent Landmark and Intensity-Based Image Registration
, 2002
"... Two new consistent image registration algorithms are presented: one is based on matching corresponding landmarks and the other is based on matching both landmark and intensity information. The consistent landmark and intensity registration algorithm produces good correspondences between images near ..."
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Cited by 103 (3 self)
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landmark locations by matching corresponding landmarks and away from landmark locations by matching the image intensities. In contrast to similar unidirectional algorithms, these new consistent algorithms jointly estimate the forward and reverse transformation between two images while minimizing
Results 1 - 10
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1,451
