Abstract: Current simultaneous localization and mapping (SLAM) systems are crucial for autonomous robotic applications but have been proven to face difficulties in dynamic indoor environments, where ...
In order to address the challenges faced by traditional visual SLAM algorithms in complex scenarios, such as low texture and dynamic objects, this paper proposed a robust SLAM system that improves the ...
To address the issues of feature mismatching and map overlap drift in simultaneous localization and mapping (SLAM) within degraded environments characterized by sparse geometric features or severe ...
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