R. Salomon (Germany)
Intelligent Agents, Robotics, Computer Vision
This paper reviews some attempts that exploit a phe nomenon, 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 learn ing. To overcomethese practically-relevantlimitations, this paper proposes a new model that is based on Hebbian learn ing. Due to its scalability and online learning capabilities, this model is especially suited to mobile robots.
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