Critical design and control issues of indoor autonomous mobile robots: A review
Robots that can move autonomously and can make intelligent decisions by perceiving their
environments and surrounding objects are known as autonomous mobile robots. Such …
environments and surrounding objects are known as autonomous mobile robots. Such …
Kinect and rgbd images: Challenges and applications
Kinect is a device introduced in November 2010 as an accessory of Xbox 360. The acquired
data has different and complementary natures, combining geometry with visual attributes …
data has different and complementary natures, combining geometry with visual attributes …
Microsoft kinect sensor and its effect
Z Zhang - IEEE multimedia, 2012 - ieeexplore.ieee.org
Recent advances in 3D depth cameras such as Microsoft Kinect sensors (www. xbox.
com/en-US/kinect) have created many opportunities for multimedia computing. The Kinect …
com/en-US/kinect) have created many opportunities for multimedia computing. The Kinect …
Mixed reality remote collaboration combining 360 video and 3d reconstruction
Remote Collaboration using Virtual Reality (VR) and Augmented Reality (AR) has recently
become a popular way for people from different places to work together. Local workers can …
become a popular way for people from different places to work together. Local workers can …
Semantic ray: Learning a generalizable semantic field with cross-reprojection attention
In this paper, we aim to learn a semantic radiance field from multiple scenes that is accurate,
efficient and generalizable. While most existing NeRFs target at the tasks of neural scene …
efficient and generalizable. While most existing NeRFs target at the tasks of neural scene …
Loki: Facilitating remote instruction of physical tasks using bi-directional mixed-reality telepresence
B Thoravi Kumaravel, F Anderson… - Proceedings of the …, 2019 - dl.acm.org
Remotely instructing and guiding users in physical tasks has offered promise across a wide
variety of domains. While it has been the subject of many research projects, current …
variety of domains. While it has been the subject of many research projects, current …
Single image 3d object detection and pose estimation for grasping
We present a novel approach for detecting objects and estimating their 3D pose in single
images of cluttered scenes. Objects are given in terms of 3D models without accompanying …
images of cluttered scenes. Objects are given in terms of 3D models without accompanying …
Simultaneous localization and mapping
This chapter provides a comprehensive introduction in to the simultaneous localization and
mapping problem, better known in its abbreviated form as SLAM. SLAM addresses the main …
mapping problem, better known in its abbreviated form as SLAM. SLAM addresses the main …
Volumefusion: Deep depth fusion for 3d scene reconstruction
To reconstruct a 3D scene from a set of calibrated views, traditional multi-view stereo
techniques rely on two distinct stages: local depth maps computation and global depth maps …
techniques rely on two distinct stages: local depth maps computation and global depth maps …
3d instance segmentation via multi-task metric learning
We propose a novel method for instance label segmentation of dense 3D voxel grids. We
target volumetric scene representations, which have been acquired with depth sensors or …
target volumetric scene representations, which have been acquired with depth sensors or …