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A deep analysis of visual SLAM methods for highly automated and autonomous vehicles in complex urban environment
K Wang, G Zhao, J Lu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
In the context of automated driving, navigating through challenging urban environments with
dynamic objects, large-scale scenes, and varying lighting/weather conditions, achieving …
dynamic objects, large-scale scenes, and varying lighting/weather conditions, achieving …
ObVi-SLAM: Long-term object-visual SLAM
Robots responsible for tasks over long time scales must be able to localize consistently and
scalably amid geometric, viewpoint, and appearance changes. Existing visual SLAM …
scalably amid geometric, viewpoint, and appearance changes. Existing visual SLAM …
Dynaquadric: Dynamic quadric slam for quadric initialization, map**, and tracking
R Tian, Y Zhang, L Yang, J Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Dynamic SLAM is a key technology for autonomous driving and robotics, and accurate pose
estimation of surrounding objects is important for semantic perception tasks. Current quadric …
estimation of surrounding objects is important for semantic perception tasks. Current quadric …
A stereo vision SLAM with moving vehicles tracking in outdoor environment
C Hong, M Zhong, Z Jia, C You, Z Wang - Machine Vision and Applications, 2024 - Springer
The assumption of a static environment is a prerequisite for most of the traditional visual
simultaneous localization and map** (v-SLAM) algorithms, which limits their widespread …
simultaneous localization and map** (v-SLAM) algorithms, which limits their widespread …
ROMAN: Open-Set Object Map Alignment for Robust View-Invariant Global Localization
MB Peterson, YX Jia, Y Tian, A Thomas… - ar**) systems based on planar features
have been widely applied in fields such as environmental structure perception and …
have been widely applied in fields such as environmental structure perception and …