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DRV-SLAM: An Adaptive Real-Time Semantic Visual SLAM Based on Instance Segmentation Toward Dynamic Environments

open access: yesIEEE Access
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

open access: yesJournal of Robotics and Mechatronics, 2019
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

Towards full autonomous driving: challenges and frontiers

open access: yesFrontiers in Physics
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

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