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 …
2d gaussian splatting for geometrically accurate radiance fields
3D Gaussian Splatting (3DGS) has recently revolutionized radiance field reconstruction,
achieving high quality novel view synthesis and fast rendering speed. However, 3DGS fails …
achieving high quality novel view synthesis and fast rendering speed. However, 3DGS fails …
Co-slam: Joint coordinate and sparse parametric encodings for neural real-time slam
We present Co-SLAM, a neural RGB-D SLAM system based on a hybrid representation, that
performs robust camera tracking and high-fidelity surface reconstruction in real time. Co …
performs robust camera tracking and high-fidelity surface reconstruction in real time. Co …
Deferred neural rendering: Image synthesis using neural textures
The modern computer graphics pipeline can synthesize images at remarkable visual quality;
however, it requires well-defined, high-quality 3D content as input. In this work, we explore …
however, it requires well-defined, high-quality 3D content as input. In this work, we explore …
RTAB‐Map as an open‐source lidar and visual simultaneous localization and map** library for large‐scale and long‐term online operation
Distributed as an open‐source library since 2013, real‐time appearance‐based map**
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …
(RTAB‐Map) started as an appearance‐based loop closure detection approach with …
Permutosdf: Fast multi-view reconstruction with implicit surfaces using permutohedral lattices
Neural radiance-density field methods have become increasingly popular for the task of
novel-view rendering. Their recent extension to hash-based positional encoding ensures …
novel-view rendering. Their recent extension to hash-based positional encoding ensures …
Scannet: Richly-annotated 3d reconstructions of indoor scenes
A key requirement for leveraging supervised deep learning methods is the availability of
large, labeled datasets. Unfortunately, in the context of RGB-D scene understanding, very …
large, labeled datasets. Unfortunately, in the context of RGB-D scene understanding, very …
Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras
We present ORB-SLAM2, a complete simultaneous localization and map** (SLAM)
system for monocular, stereo and RGB-D cameras, including map reuse, loop closing, and …
system for monocular, stereo and RGB-D cameras, including map reuse, loop closing, and …
Cg-slam: Efficient dense rgb-d slam in a consistent uncertainty-aware 3d gaussian field
Recently neural radiance fields (NeRF) have been widely exploited as 3D representations
for dense simultaneous localization and map** (SLAM). Despite their notable successes …
for dense simultaneous localization and map** (SLAM). Despite their notable successes …