A Lightweight Visual Simultaneous Localization and Mapping Method with a High Precision in Dynamic Scenes. [PDF]
Zhang Q, Yu W, Liu W, Xu H, He Y.
europepmc +1 more source
Semantic visual simultaneous localization and mapping (SLAM) using deep learning for dynamic scenes. [PDF]
Zhang XY, Abd Rahman AH, Qamar F.
europepmc +1 more source
Freehand scanning photoacoustic microscopy with simultaneous localization and mapping. [PDF]
Chen J, Zhang Y, Zhu J, Tang X, Wang L.
europepmc +1 more source
Traditional simultaneous localization and mapping (SLAM) methodologies predominantly rely on the assumption of a static environment. This constraint limits the applicability of most visual SLAM systems in various real-world scenarios.
Qiang Ji +3 more
doaj +1 more source
Introduction to Simultaneous Localization and Mapping
Simultaneous localization and mapping (SLAM) forms the core of the technology that supports mobile robots. With SLAM, when a robot is moving in an actual environment, real world information is imported to a computer on the robot via a sensor, and robot’s physical location and a map of its surrounding environment of the robot are created.
openaire +1 more source
Feasibility of Tracking Human Kinematics with Simultaneous Localization and Mapping (SLAM). [PDF]
Laal S +4 more
europepmc +1 more source
Towards full autonomous driving: challenges and frontiers
With the rapid advancement of information technology and intelligent systems, autonomous driving has garnered significant attention and research in recent years.
Wei He +4 more
doaj +1 more source
Integrating Sparse Learning-Based Feature Detectors into Simultaneous Localization and Mapping-A Benchmark Study. [PDF]
Mollica G +4 more
europepmc +1 more source
Expectation-Maximization-Based Simultaneous Localization and Mapping for Millimeter-Wave Communication Systems. [PDF]
Chen L, Chen Z, Ji Z.
europepmc +1 more source
A Semantic Topology Graph to Detect Re-Localization and Loop Closure of the Visual Simultaneous Localization and Mapping System in a Dynamic Environment. [PDF]
Wang Y +5 more
europepmc +1 more source

