Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Using covariance intersection for SLAM
Robotics and Autonomous Systems
Particle filter based self-localization using visual landmarks and image database
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
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The Standard Platform League (SPL) provides an environment that is essentially static; with the exception of other robots and the audience, the area in which a robot is expected to localise itself is quite favourable. However, a large number of the predefined landmarks in the given world model can be perceived as ambiguous in many scenarios, with the prime example being field line markings. In this paper a technique is presented that implicitly disambiguates these detected field line objects in order to use them for localization purposes.