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IROS
2009
IEEE
229views Robotics» more  IROS 2009»
14 years 2 months ago
3D mapping for urban service robots
— We present an approach to the problem of 3D map building in urban settings for service robots, using threedimensional laser range scans as the main data input. Our system is ba...
Rafael Valencia, Ernesto Homar Teniente Avil&eacut...
ICARCV
2006
IEEE
180views Robotics» more  ICARCV 2006»
14 years 1 months ago
Simultaneous Localization and Mapping with Stereo Vision
— In the simultaneous localization and mapping (SLAM) problem, a mobile robot must build a map of its environment while simultaneously determining its location within that map. W...
Matthew N. Dailey, Manukid Parnichkun
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
14 years 1 months ago
Towards Mapping of Cities
— Map learning is a fundamental task in mobile robotics because maps are required for a series of high level applications. In this paper, we address the problem of building maps ...
Patrick Pfaff, Rudolph Triebel, Cyrill Stachniss, ...
ICRA
2000
IEEE
111views Robotics» more  ICRA 2000»
13 years 11 months ago
Learning Globally Consistent Maps by Relaxation
Mobile robots require the ability to build their own maps to operate in unknown environments. A fundamental problem is that odometry-based dead reckoning cannot be used to assign ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro
IJCAI
2003
13 years 8 months ago
An Extension of the ICP Algorithm for Modeling Nonrigid Objects with Mobile Robots
The iterative closest point (ICP) algorithm [2] is a popular method for modeling 3D objects from range data. The classical ICP algorithm rests on a rigid surface assumption. Build...
Dirk Hähnel, Sebastian Thrun, Wolfram Burgard