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A survey of visual SLAM in dynamic environment: The evolution from geometric to semantic approaches
Simultaneous localization and map** (SLAM) is crucial for the progression of autonomous
systems, including autonomous driving, augmented reality (AR), and robotics. Traditionally …
systems, including autonomous driving, augmented reality (AR), and robotics. Traditionally …
EGST: Enhanced geometric structure transformer for point cloud registration
We explore the effect of geometric structure descriptors on extracting reliable
correspondences and obtaining accurate registration for point cloud registration. The point …
correspondences and obtaining accurate registration for point cloud registration. The point …
Ddn-slam: Real-time dense dynamic neural implicit slam
A systematic literature review on long‐term localization and map** for mobile robots
Long‐term operation of robots creates new challenges to Simultaneous Localization and
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
Map** (SLAM) algorithms. Long‐term SLAM algorithms should adapt to recent changes …
Dn-slam: A visual slam with orb features and nerf map** in dynamic environments
C Ruan, Q Zang, K Zhang, K Huang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Vision simultaneous localization and map** (SLAM) is essential for adapting to new
environments and for localization and is therefore widely used in robotics. However …
environments and for localization and is therefore widely used in robotics. However …
DPL-SLAM: enhancing dynamic point-line SLAM through dense semantic methods
The traditional visual simultaneous localization and map** (SLAM) systems rely on the
static-world assumption and cannot handle dynamic objects. This article presents a novel …
static-world assumption and cannot handle dynamic objects. This article presents a novel …
Dynpl-slam: A robust stereo visual slam system for dynamic scenes using points and lines
B Zhang, Y Dong, Y Zhao, X Qi - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Simultaneous Localization and Map** (SLAM) plays a crucial role in enabling intelligent
mobile robots and vehicles to estimate their state in unknown environments. However, most …
mobile robots and vehicles to estimate their state in unknown environments. However, most …
Semantic SLAM for mobile robots in dynamic environments based on visual camera sensors
Q Zhang, C Li - Measurement Science and Technology, 2023 - iopscience.iop.org
Visual simultaneous localization and map** (vSLAM) is inherently constrained by the
static world assumption, which renders success in the presence of dynamic objects rather …
static world assumption, which renders success in the presence of dynamic objects rather …
FADM-SLAM: a fast and accurate dynamic intelligent motion SLAM for autonomous robot exploration involving movable objects
Purpose Many popular simultaneous localization and map** (SLAM) techniques have low
accuracy, especially when localizing environments containing dynamically moving objects …
accuracy, especially when localizing environments containing dynamically moving objects …