[HTML][HTML] A survey of state-of-the-art on visual SLAM
This paper is an overview to Visual Simultaneous Localization and Map** (V-SLAM). We
discuss the basic definitions in the SLAM and vision system fields and provide a review of …
discuss the basic definitions in the SLAM and vision system fields and provide a review of …
A comprehensive survey of visual slam algorithms
Simultaneous localization and map** (SLAM) techniques are widely researched, since
they allow the simultaneous creation of a map and the sensors' pose estimation in an …
they allow the simultaneous creation of a map and the sensors' pose estimation in an …
Mip-splatting: Alias-free 3d gaussian splatting
Abstract Recently 3D Gaussian Splatting has demonstrated impressive novel view synthesis
results reaching high fidelity and efficiency. However strong artifacts can be observed when …
results reaching high fidelity and efficiency. However strong artifacts can be observed when …
Pointodyssey: A large-scale synthetic dataset for long-term point tracking
We introduce PointOdyssey, a large-scale synthetic dataset, and data generation framework,
for the training and evaluation of long-term fine-grained tracking algorithms. Our goal is to …
for the training and evaluation of long-term fine-grained tracking algorithms. Our goal is to …
Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
Y Bai, B Zhang, N Xu, J Zhou, J Shi, Z Diao - Computers and Electronics in …, 2023 - Elsevier
Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …
prerequisite for the accomplishment of various tasks. However, precision navigation of …
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** …
An overview on visual slam: From tradition to semantic
W Chen, G Shang, A Ji, C Zhou, X Wang, C Xu, Z Li… - Remote Sensing, 2022 - mdpi.com
Visual SLAM (VSLAM) has been develo** rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …
Particle video revisited: Tracking through occlusions using point trajectories
Tracking pixels in videos is typically studied as an optical flow estimation problem, where
every pixel is described with a displacement vector that locates it in the next frame. Even …
every pixel is described with a displacement vector that locates it in the next frame. Even …
A review of visual-LiDAR fusion based simultaneous localization and map**
Autonomous navigation requires both a precise and robust map** and localization
solution. In this context, Simultaneous Localization and Map** (SLAM) is a very well …
solution. In this context, Simultaneous Localization and Map** (SLAM) is a very well …
Efficient structure from motion for large-scale UAV images: A review and a comparison of SfM tools
Unmanned aerial vehicle (UAV) images have gained extensive attention in varying fields,
and the Structure from Motion (SfM) technique has become the gold standard for aerial …
and the Structure from Motion (SfM) technique has become the gold standard for aerial …