In this paper, we propose a novel fast sequence-based method for efficient place recognition that can be applied online.
In this paper, we propose a graph-based framework to systematically exploit different types of additional structure and information.
Despite its simplicity, the proposed algorithm achieves robust and reliable tracking results and can be applied for offline as well as online tracking.
The available implementations differ in the underlying vector space and the particular implementations of the required VSA operators - with important ramifications for the properties of these architectures.
This paper discusses this practically very important problem of in-sequence condition changes and defines a hierarchy of problem setups from (1) no in-sequence changes, (2) discrete in-sequence changes, to (3) continuous in-sequence changes.