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A review of visual SLAM methods for autonomous driving vehicles
Autonomous driving vehicles require both a precise localization and map** solution in
different driving environment. In this context, Simultaneous Localization and Map** …
different driving environment. In this context, Simultaneous Localization and Map** …
Deep learning for visual SLAM: the state-of-the-art and future trends
MN Favorskaya - Electronics, 2023 - mdpi.com
Visual Simultaneous Localization and Map** (VSLAM) has been a hot topic of research
since the 1990s, first based on traditional computer vision and recognition techniques and …
since the 1990s, first based on traditional computer vision and recognition techniques and …
UV-SLAM: Unconstrained line-based SLAM using vanishing points for structural map**
In feature-based simultaneous localization and map** (SLAM), line features complement
the sparsity of point features, making it possible to map the surrounding environment …
the sparsity of point features, making it possible to map the surrounding environment …
P-VINS: Tightly-Coupled PPP/INS/Visual SLAM Based on Optimization Approach
Precise Point Positioning (PPP), a cutting edge GNSS technology, can achieve high-
precision positioning without base station assistance. Visual-Inertial Odometry (VIO) realizes …
precision positioning without base station assistance. Visual-Inertial Odometry (VIO) realizes …
Airslam: An efficient and illumination-robust point-line visual slam system
In this paper, we present an efficient visual SLAM system designed to tackle both short-term
and long-term illumination challenges. Our system adopts a hybrid approach that combines …
and long-term illumination challenges. Our system adopts a hybrid approach that combines …