A benchmark for the evaluation of RGB-D SLAM systems
In this paper, we present a novel benchmark for the evaluation of RGB-D SLAM systems. We
recorded a large set of image sequences from a Microsoft Kinect with highly accurate and …
recorded a large set of image sequences from a Microsoft Kinect with highly accurate and …
Dense visual SLAM for RGB-D cameras
In this paper, we propose a dense visual SLAM method for RGB-D cameras that minimizes
both the photometric and the depth error over all pixels. In contrast to sparse, feature-based …
both the photometric and the depth error over all pixels. In contrast to sparse, feature-based …
Stereoscan: Dense 3d reconstruction in real-time
Accurate 3d perception from video sequences is a core subject in computer vision and
robotics, since it forms the basis of subsequent scene analysis. In practice however, online …
robotics, since it forms the basis of subsequent scene analysis. In practice however, online …
iSAM: Incremental smoothing and map**
M Kaess, A Ranganathan… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
In this paper, we present incremental smoothing and map** (iSAM), which is a novel
approach to the simultaneous localization and map** problem that is based on fast …
approach to the simultaneous localization and map** problem that is based on fast …
An evaluation of the RGB-D SLAM system
We present an approach to simultaneous localization and map** (SLAM) for RGB-D
cameras like the Microsoft Kinect. Our system concurrently estimates the trajectory of a hand …
cameras like the Microsoft Kinect. Our system concurrently estimates the trajectory of a hand …
Sensing and Artificial Perception for Robots in Precision Forestry: A Survey
Artificial perception for robots operating in outdoor natural environments, including forest
scenarios, has been the object of a substantial amount of research for decades. Regardless …
scenarios, has been the object of a substantial amount of research for decades. Regardless …
Robust odometry estimation for RGB-D cameras
The goal of our work is to provide a fast and accurate method to estimate the camera motion
from RGB-D images. Our approach registers two consecutive RGB-D frames directly upon …
from RGB-D images. Our approach registers two consecutive RGB-D frames directly upon …
From the desks of ROS maintainers: A survey of modern & capable mobile robotics algorithms in the robot operating system 2
Abstract The Robot Operating System 2 (ROS 2) is rapidly impacting the intelligent
machines sector—on space missions, large agriculture equipment, multi-robot fleets, and …
machines sector—on space missions, large agriculture equipment, multi-robot fleets, and …
Learning to learn how to learn: Self-adaptive visual navigation using meta-learning
Learning is an inherently continuous phenomenon. When humans learn a new task there is
no explicit distinction between training and inference. As we learn a task, we keep learning …
no explicit distinction between training and inference. As we learn a task, we keep learning …
FrameSLAM: From bundle adjustment to real-time visual map**
K Konolige, M Agrawal - IEEE Transactions on Robotics, 2008 - ieeexplore.ieee.org
Many successful indoor map** techniques employ frame-to-frame matching of laser scans
to produce detailed local maps as well as the closing of large loops. In this paper, we …
to produce detailed local maps as well as the closing of large loops. In this paper, we …