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» Range Data Approximation for Mobile Robot by Using CAN2
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ICRA
2005
IEEE
122views Robotics» more  ICRA 2005»
13 years 11 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...
ICRA
2009
IEEE
123views Robotics» more  ICRA 2009»
13 years 12 months ago
Realtime segmentation of range data using continuous nearest neighbors
— In mobile robotics, the segmentation of range data is an important prerequisite to object recognition and environment understanding. This paper presents an algorithm for realti...
Klaas Klasing, Dirk Wollherr, Martin Buss
RSS
2007
159views Robotics» more  RSS 2007»
13 years 6 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...
ICRA
2010
IEEE
108views Robotics» more  ICRA 2010»
13 years 3 months ago
Robust place recognition for 3D range data based on point features
Abstract— The problem of place recognition appears in different mobile robot navigation problems including localization, SLAM, or change detection in dynamic environments. Wherea...
Bastian Steder, Giorgio Grisetti, Wolfram Burgard
RAS
2008
123views more  RAS 2008»
13 years 4 months ago
Fusion of aerial images and sensor data from a ground vehicle for improved semantic mapping
This work investigates the use of semantic information to link ground level occupancy maps and aerial images. A ground level semantic map, which shows open ground and indicates th...
Martin Persson, Tom Duckett, Achim J. Lilienthal