RGB-D Inertial Odometry for a Resource-Restricted Robot in Dynamic Environments
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DOI: 10.1109/lra.2022.3191193
Abstract: Current simultaneous localization and mapping (SLAM) algorithms perform well in static environments but easily fail in dynamic environments. Recent works introduce deep learning-based semantic information to SLAM systems to reduce the influence of dynamic objects.… read more here.
Keywords: rgb inertial; inertial odometry; dynamic environments; resource restricted ... See more keywords