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ECAI
2008
Springer
13 years 6 months ago
Learning to Select Object Recognition Methods for Autonomous Mobile Robots
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon L&oacu...
IROS
2007
IEEE
144views Robotics» more  IROS 2007»
13 years 11 months ago
Global action selection for illumination invariant color modeling
— A major challenge in the path of widespread use of mobile robots is the ability to function autonomously, learning useful features from the environment and using them to adapt ...
Mohan Sridharan, Peter Stone
GI
2009
Springer
13 years 2 months ago
Specification based testing of automotive human machine interfaces
Abstract: Model based testing promises systematic test coverage in a continuous testing process. However, in practice, model based testing struggles with informal specifications, d...
Holger Grandy, Sebastian Benz
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
13 years 11 months ago
Deep belief net learning in a long-range vision system for autonomous off-road driving
Abstract— We present a learning-based approach for longrange vision that is able to accurately classify complex terrain at distances up to the horizon, thus allowing high-level s...
Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco S...