HIGHLIGHTS
- who: Adaptive smooth variable and collaborators from the School of Mechatronic Engineering and Automation Shanghai University Shanghai, China have published the article: Maximum likelihood estimation-assisted ASVSF through state covariance-based 2D SLAM algorithm, in the Journal: (JOURNAL) of Mar/31,/2020
- how: Regarding to these parameters and the reference path depicted in Figure 1 the following results were obtained.
SUMMARY
The SLAM-based mobile robot navigation has intensively received attention because of some challenging factors that need to be solved such as wide uncertainty, system complexity, inaccurate system model, limited . . .
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