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 271–280 of 572 papers

TitleStatusHype
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
ORB-based SLAM accelerator on SoC FPGA—0
VI-SLAM2tag: Low-Effort Labeled Dataset Collection for Fingerprinting-Based Indoor Localization—0
VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM—0
Wireless Channel Prediction in Partially Observed Environments—0
Automated Wheat Disease Detection using a ROS-based Autonomous Guided UAV—0
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