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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 251–275 of 572 papers

TitleStatusHype
Vision-based localization methods under GPS-denied conditions—0
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance FieldsCode2
Data Fusion for Multipath-Based SLAM: Combining Information from Multiple Propagation Paths—0
S3E: A Multi-Robot Multimodal Dataset for Collaborative SLAMCode1
VP-SLAM: A Monocular Real-time Visual SLAM with Points, Lines and Vanishing Points—0
Visual SLAM: What are the Current Trends and What to Expect?—0
Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM—0
Indoor Smartphone SLAM with Learned Echoic Location Features—0
Self-Improving SLAM in Dynamic Environments: Learning When to MaskCode0
Autonomous Asteroid Characterization Through Nanosatellite Swarming—0
Det-SLAM: A semantic visual SLAM for highly dynamic scenes using Detectron2Code0
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
LF-VISLAM: A SLAM Framework for Large Field-of-View Cameras with Negative Imaging Plane on Mobile AgentsCode1
General Place Recognition Survey: Towards the Real-world Autonomy AgeCode1
R^3LIVE++: A Robust, Real-time, Radiance reconstruction package with a tightly-coupled LiDAR-Inertial-Visual state EstimatorCode4
Visual Odometry with Neuromorphic Resonator Networks—0
Doppler Exploitation in Bistatic mmWave Radio SLAM—0
BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAMCode2
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
D^3FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO GuidanceCode1
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