SOTAVerified

Simultaneous Localization and Mapping

Simultaneous localization and mapping (SLAM) is the task of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.

( Image credit: ORB-SLAM2 )

Papers

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Showing 301–310 of 572 papers

TitleStatusHype
Automated Wheat Disease Detection using a ROS-based Autonomous Guided UAV—0
Automatic Impact-sounding Acoustic Inspection of Concrete Structure—0
Automatic Vocabulary and Graph Verification for Accurate Loop Closure Detection—0
Autonomous Asteroid Characterization Through Nanosatellite Swarming—0
Autonomous Navigation in Dynamic Environments: Deep Learning-Based Approach—0
A Variational Feature Encoding Method of 3D Object for Probabilistic Semantic SLAM—0
Visual Perception System for Autonomous Driving—0
BAD SLAM: Bundle Adjusted Direct RGB-D SLAM—0
Batch SLAM with PMBM Data Association Sampling and Graph-Based Optimization—0
Bayesian Integration of Multi-resolutional Grid Codes for Spatial Cognition—0
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