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 321–330 of 572 papers

TitleStatusHype
Closing the Loop: Graph Networks to Unify Semantic Objects and Visual Features for Multi-object Scenes—0
LMBAO: A Landmark Map for Bundle Adjustment Odometry in LiDAR SLAM—0
OA-SLAM: Leveraging Objects for Camera Relocalization in Visual SLAM—0
Semantic Visual Simultaneous Localization and Mapping: A Survey—0
Optimizing SLAM Evaluation Footprint Through Dynamic Range Coverage Analysis of Datasets—0
Visual Odometry with Neuromorphic Resonator Networks—0
Doppler Exploitation in Bistatic mmWave Radio SLAM—0
Evaluation and comparison of eight popular Lidar and Visual SLAM algorithms—0
PLD-SLAM: A Real-Time Visual SLAM Using Points and Line Segments in Dynamic Scenes—0
ORB-based SLAM accelerator on SoC FPGA—0
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