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» Learning to Fly Simple and Robust
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ICML
2007
IEEE
14 years 11 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum
TROB
2008
86views more  TROB 2008»
13 years 10 months ago
Visual SLAM for Flying Vehicles
The ability to learn a map of the environment is important for numerous types of robotic vehicles. In this paper, we address the problem of learning a visual map of the ground usin...
Bastian Steder, Giorgio Grisetti, Cyrill Stachniss...
CVPR
2010
IEEE
14 years 7 months ago
PROST: Parallel Robust Online Simple Tracking
Tracking-by-detection is increasingly popular in order to tackle the visual tracking problem. Existing adaptive methods suffer from the drifting problem, since they rely on selfup...
Jakob Santner, Christian Leistner, Amir Saffari, T...
AROBOTS
2006
110views more  AROBOTS 2006»
13 years 11 months ago
Flying over the reality gap: From simulated to real indoor airships
Because of their ability to naturally float in the air, indoor airships (often called blimps) constitute an appealing platform for research in aerial robotics. However, when confr...
Jean-Christophe Zufferey, Alexis Guanella, Antoine...
ATAL
2005
Springer
14 years 4 months ago
Lessons learned from autonomous sciencecraft experiment
An Autonomous Science Agent has been flying onboard the Earth Observing One Spacecraft since 2003. This software enables the spacecraft to autonomously detect and responds to scie...
Steve A. Chien, Rob Sherwood, Daniel Tran, Benjami...