SLAM data association method based on maximum-minimum ant system optimization
A technology of maximum and minimum ants and data association, applied to systems based on fuzzy logic, etc.
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2017-03-22
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Abstract
Description
technical field
[0001] The invention relates to the field of autonomous navigation of robots, in particular to a SLAM data association method based on maximum and minimum ant system optimization. Background technique
[0002] The problem of Simultaneous Localization and Mapping (SLAM) can be described as that in an unknown prior information environment, the mobile robot uses the installed sensors to construct an incremental map, and at the same time performs its own positioning according to the map and position estimation. The key technical issues for robots to realize fully autonomous navigation are also the focus and hotspot of current research in the field of mobile robots. As an important part of the SLAM problem, data association establishes the correspondence between sensor measurements and feature maps obtained at different times and in different locations. However, in the actual SLAM process, the association accuracy and computational complexity of the data associat...
Examples
Embodiment Construction
[0059] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:
[0060] The present invention is mainly composed of three parts: the first part uses threshold filtering to narrow the solution space range of data association and improves the search efficiency of the algorithm; the second part transforms the data association problem into an optimal path solving problem, and uses The model represents the associated path nodes; in the third part, the max-min ant system is combined with the joint maximum likelihood criterion, and the joint maximum likelihood value of the data association hypothesis is used as the objective function for path search.
[0061] In this embodiment, for the convenience of description, MMAS-JML is used to represent the joint maximum likelihood data association method optimized by the maximum and minimum ant system, ML is used to represent the maximum likelihood data association method, and A...