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A tutorial on quantitative trajectory evaluation for visual (-inertial) odometry
Z Zhang, D Scaramuzza - 2018 IEEE/RSJ International …, 2018 - ieeexplore.ieee.org
In this tutorial, we provide principled methods to quantitatively evaluate the quality of an
estimated trajectory from visual (-inertial) odometry (VO/VIO), which is the foundation of …
estimated trajectory from visual (-inertial) odometry (VO/VIO), which is the foundation of …
Simultaneous localization and map** (slam) for autonomous driving: Concept and analysis
The Simultaneous Localization and Map** (SLAM) technique has achieved astonishing
progress over the last few decades and has generated considerable interest in the …
progress over the last few decades and has generated considerable interest in the …
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 …
Are we ready for autonomous driving? the kitti vision benchmark suite
Today, visual recognition systems are still rarely employed in robotics applications. Perhaps
one of the main reasons for this is the lack of demanding benchmarks that mimic such …
one of the main reasons for this is the lack of demanding benchmarks that mimic such …
Comparison of various slam systems for mobile robot in an indoor environment
M Filipenko, I Afanasyev - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
This article presents a comparative analysis of a mobile robot trajectories computed by
various ROS-based SLAM systems. For this reason we developed a prototype of a mobile …
various ROS-based SLAM systems. For this reason we developed a prototype of a mobile …
Multiple‐robot simultaneous localization and map**: A review
Simultaneous localization and map** (SLAM) in unknown GPS‐denied environments is a
major challenge for researchers in the field of mobile robotics. Many solutions for single …
major challenge for researchers in the field of mobile robotics. Many solutions for single …
XVO: Generalized visual odometry via cross-modal self-training
We propose XVO, a semi-supervised learning method for training generalized monocular
Visual Odometry (VO) models with robust off-the-self operation across diverse datasets and …
Visual Odometry (VO) models with robust off-the-self operation across diverse datasets and …
S-PTAM: Stereo parallel tracking and map**
This paper describes a real-time feature-based stereo SLAM system that is robust and
accurate in a wide variety of conditions–indoors, outdoors, with dynamic objects, changing …
accurate in a wide variety of conditions–indoors, outdoors, with dynamic objects, changing …
An evaluation of 2D SLAM techniques available in robot operating system
JM Santos, D Portugal… - 2013 IEEE international …, 2013 - ieeexplore.ieee.org
In this work, a study of several laser-based 2D Simultaneous Localization and Map**
(SLAM) techniques available in Robot Operating System (ROS) is conducted. All the …
(SLAM) techniques available in Robot Operating System (ROS) is conducted. All the …