A Two‐Stage Feature Point Detection and Marking Approach Based on the Labeled Multi‐Bernoulli Filter

A Two‐Stage Feature Point Detection and Marking Approach Based on the Labeled Multi‐Bernoulli Filter

In recent years, various algorithms using random finite sets (RFS) to solve the issue of simultaneous localization and mapping (SLAM) have been proposed. Compared with the traditional method, the advantage of the RFS method is that it can avoid data association, landmark appearance and disappearance...

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Bibliographic Details
Main Authors: Liu, W. (Author), Yang, J. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Bernoulli filters
Feature extraction
feature point detection and marking
Feature point detection and marking
Feature points detections
Labeled multi‐bernoulli filter filter
Labeled random finite set
LMB filter
Localization method
L‐RFS
Mapping method
Multi-Bernoulli
Random finite sets
Robotics
Set theory
Simultaneous localization and mapping
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