3dregnet: A deep neural network for 3d point registration
We present 3DRegNet, a novel deep learning architecture for the registration of 3D scans.
Given a set of 3D point correspondences, we build a deep neural network to address the …
Given a set of 3D point correspondences, we build a deep neural network to address the …
Looking at vehicles on the road: A survey of vision-based vehicle detection, tracking, and behavior analysis
S Sivaraman, MM Trivedi - IEEE transactions on intelligent …, 2013 - ieeexplore.ieee.org
This paper provides a review of the literature in on-road vision-based vehicle detection,
tracking, and behavior understanding. Over the past decade, vision-based surround …
tracking, and behavior understanding. Over the past decade, vision-based surround …
Visual odometry [tutorial]
D Scaramuzza, F Fraundorfer - IEEE robotics & automation …, 2011 - ieeexplore.ieee.org
Visual odometry (VO) is the process of estimating the egomotion of an agent (eg, vehicle,
human, and robot) using only the input of a single or multiple cameras attached to it …
human, and robot) using only the input of a single or multiple cameras attached to it …
Object pose estimation with statistical guarantees: Conformal keypoint detection and geometric uncertainty propagation
The two-stage object pose estimation paradigm first detects semantic keypoints on the
image and then estimates the 6D pose by minimizing reprojection errors. Despite performing …
image and then estimates the 6D pose by minimizing reprojection errors. Despite performing …
[图书][B] Small unmanned aircraft: Theory and practice
Autonomous unmanned air vehicles (UAVs) are critical to current and future military, civil,
and commercial operations. Despite their importance, no previous textbook has accessibly …
and commercial operations. Despite their importance, no previous textbook has accessibly …
[图书][B] Robot modeling and control
A New Edition Featuring Case Studies and Examples of the Fundamentals of Robot
Kinematics, Dynamics, and Control In the 2nd Edition of Robot Modeling and Control …
Kinematics, Dynamics, and Control In the 2nd Edition of Robot Modeling and Control …
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 …
Dark, beyond deep: A paradigm shift to cognitive ai with humanlike common sense
Recent progress in deep learning is essentially based on a “big data for small tasks”
paradigm, under which massive amounts of data are used to train a classifier for a single …
paradigm, under which massive amounts of data are used to train a classifier for a single …
[图书][B] Image correlation for shape, motion and deformation measurements: basic concepts, theory and applications
Image Correlation for Shape, Motion and Deformation Measurements provides a
comprehensive overview of data extraction through image analysis. Readers will find and in …
comprehensive overview of data extraction through image analysis. Readers will find and in …
3d pose regression using convolutional neural networks
Abstract 3D pose estimation is a key component of many important computer vision tasks
such as autonomous navigation and 3D scene understanding. Most state-of-the-art …
such as autonomous navigation and 3D scene understanding. Most state-of-the-art …