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2003

Evolving High-Dimensional, Adaptive Camera-based Speed Sensors

9 years 3 months ago
Evolving High-Dimensional, Adaptive Camera-based Speed Sensors
This paper reviews some attempts that exploit a phenomenon, also known as motion parallax, to estimate the distance of closest approach of a moving object. Despite their success, the existing methods lack some desirable properties, such as reasonable scalability and online learning. To overcomethese practically-relevantlimitations, this paper proposes a new model that is based on Hebbian learning. Due to its scalability and online learning capabilities, this model is especially suited to mobile robots. KEY WORDS Intelligent Agents, Robotics, Computer Vision
Ralf Salomon
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where APPINF
Authors Ralf Salomon
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