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Learning multiple experiences useful visual features for active maps localization in crowded environments
(TAYLOR & FRANCIS LTD, 2016-01-02)
Crowded urban environments are composed of different types of dynamic and static elements. Learning and classification of features is a major task in solving the localization problem in such environments. This work presents ...
Partitioned environments for visual localization
(Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
In this paper, we present a novel sequential visual localization algorithm in partitioned route. The algorithm utilizes Monte-Carlo for accurate visual localization. Partitioning the route into several regions produces ...