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ICRA
2006
IEEE
177views Robotics» more  ICRA 2006»
14 years 1 months ago
Autonomous Shape Model Learning for Object Localization and Recognition
— Mobile robots do not adequately represent the objects in their environment; this weakness hinders a robot’s ability to utilize past experience. In this paper, we describe a s...
Joseph Modayil, Benjamin Kuipers
ICRA
2009
IEEE
126views Robotics» more  ICRA 2009»
14 years 2 months ago
Leaving Flatland: Toward real-time 3D navigation
— We report our first experiences with Leaving Flatland, an exploratory project that studies the key challenges of closing the loop between autonomous perception and action on c...
Benoit Morisset, Radu Bogdan Rusu, Aravind Sundare...
ICRA
2000
IEEE
111views Robotics» more  ICRA 2000»
14 years 9 days 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 9 months ago
DP-SLAM: Fast, Robust Simultaneous Localization and Mapping Without Predetermined Landmarks
We present a novel, laser range finder based algorithm for simultaneous localization and mapping (SLAM) for mobile robots. SLAM addresses the problem of constructing an accurate ...
Austin I. Eliazar, Ronald Parr
MOBICOM
2010
ACM
13 years 8 months ago
Exploiting temporal stability and low-rank structure for localization in mobile networks
Localization is a fundamental operation for many wireless networks. While GPS is widely used for location determination, it is unavailable in many environments either due to its h...
Swati Rallapalli, Lili Qiu, Yin Zhang, Yi-Chao Che...