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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/4499

Title: Clustered features for use in stereo vision SLAM
Authors: Joubert, D
Keywords: Stereo vision
Machine vision
SLAM
Feature extraction
Data association
Robotics
Issue Date: Jul-2010
Citation: Joubert, D. 2010. Clustered features for use in stereo vision SLAM. Proceedings of the 25th International Conference of CAD/CAM, Robotics & Factories of the Future Conference, CSIR International Convention Centre, Pretoria, South Africa, 13-16 July 2010, pp 7
Series/Report no.: Conference Paper
Abstract: SLAM, or simultaneous localization and mapping, is a key component in the development of truly independent robots. Vision-based SLAM utilising stereo vision is a promising approach to SLAM but it is computationally expensive and difficult to implement. New feature manipulation techniques are proposed which incorporate relational and positional information of the features into the extraction and data association steps.
Description: Proceedings of the 25th International Conference of CAD/CAM, Robotics & Factories of the Future Conference, CSIR International Convention Centre, Pretoria, South Africa, 13-16 July 2010
URI: http://hdl.handle.net/10204/4499
ISBN: 9780620465823
Appears in Collections:Mobile intelligent autonomous systems
Manufacturing science and technology
General science, engineering & technology

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