Review of visual odometry: types, approaches, challenges, and applications
Accurate localization of a vehicle is a fundamental challenge and one of the most important
tasks of mobile robots. For autonomous navigation, motion tracking, and obstacle detection …
tasks of mobile robots. For autonomous navigation, motion tracking, and obstacle detection …
High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review
High-quality 3D reconstruction is an important topic in computer graphics and computer
vision with many applications, such as robotics and augmented reality. The advent of …
vision with many applications, such as robotics and augmented reality. The advent of …
SVO: Semidirect visual odometry for monocular and multicamera systems
Direct methods for visual odometry (VO) have gained popularity for their capability to exploit
information from all intensity gradients in the image. However, low computational speed as …
information from all intensity gradients in the image. However, low computational speed as …
Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration
Real-time, high-quality, 3D scanning of large-scale scenes is key to mixed reality and robotic
applications. However, scalability brings challenges of drift in pose estimation, introducing …
applications. However, scalability brings challenges of drift in pose estimation, introducing …
Deep sliding shapes for amodal 3d object detection in rgb-d images
S Song, J **: Low-drift, robust, and fast
Here, we present a general framework for combining visual odometry and lidar odometry in
a fundamental and first principle method. The method shows improvements in performance …
a fundamental and first principle method. The method shows improvements in performance …
Robust reconstruction of indoor scenes
We present an approach to indoor scene reconstruction from RGB-D video. The key idea is
to combine geometric registration of scene fragments with robust global optimization based …
to combine geometric registration of scene fragments with robust global optimization based …
A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
We introduce the Imperial College London and National University of Ireland Maynooth (ICL-
NUIM) dataset for the evaluation of visual odometry, 3D reconstruction and SLAM algorithms …
NUIM) dataset for the evaluation of visual odometry, 3D reconstruction and SLAM algorithms …
Deep learning for detecting robotic grasps
We consider the problem of detecting robotic grasps in an RGB-D view of a scene
containing objects. In this work, we apply a deep learning approach to solve this problem …
containing objects. In this work, we apply a deep learning approach to solve this problem …
Real-time 3D reconstruction at scale using voxel hashing
Online 3D reconstruction is gaining newfound interest due to the availability of real-time
consumer depth cameras. The basic problem takes live overlap** depth maps as input …
consumer depth cameras. The basic problem takes live overlap** depth maps as input …