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» Bayesian Landmark Learning for Mobile Robot Localization
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IJCV
2007
155views more  IJCV 2007»
13 years 7 months ago
Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot Navigation
Autonomous mobile robot navigation, either off-road or on ill-structured roads, presents unique challenges for machine perception. A successful terrain or roadway classifier must ...
Andrew Lookingbill, John Rogers, David Lieb, J. Cu...
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
2008
IEEE
125views Robotics» more  ICRA 2008»
14 years 2 months ago
Place recognition-based fixed-lag smoothing for environments with unreliable GPS
— Pose estimation of outdoor robots presents some distinct challenges due to the various uncertainties in the robot sensing and action. In particular, global positioning sensors ...
Roozbeh Mottaghi, Michael Kaess, Ananth Ranganatha...
ICRA
2007
IEEE
165views Robotics» more  ICRA 2007»
14 years 1 months ago
Probabilistic Appearance Based Navigation and Loop Closing
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...
Mark Cummins, Paul M. Newman
AROBOTS
2008
158views more  AROBOTS 2008»
13 years 7 months ago
Learning traversability models for autonomous mobile vehicles
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan thei...
Michael Shneier, Tommy Chang, Tsai Hong, William P...