Specific parameters of the test sequence in the a multi-modal and multi-scenario dataset for ground robots dataset.

<p>Specific parameters of the test sequence in the a multi-modal and multi-scenario dataset for ground robots dataset.</p>

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Bibliographic Details
Main Author:	Hongliang Zou (20707270) (author)
Other Authors:	Chen Zhou (466781) (author), Haibo Li (629817) (author), Xueyan Wang (141449) (author), Yinmei Wang (20707273) (author)
Published:	2025
Subjects:	Neuroscience Evolutionary Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified tightly coupled lidar proposed method improved 3d point cloud urban navigation dataset square error recorded smallest average error decreased localization accuracy real robot dog overall localization accuracy inertial data fusion localization error inertial data sensor localization rotational error robot dogs autonomous navigation xlink "> theoretical path study proposes significantly lower significantly increasing highest root gps environments five sequences experiments conducted complex environments competing approaches algorithms evaluated
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