Work

Towards AR for Large-Scale Robotics

Year: 2022

Type: conference-paper

Source: IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

DOI: 10.1109/vrw55335.2022.00010

Authors: Johannes Braumann, Emanuel Gollob, Amir Bastan

Institution: Association for Robots in Architecture

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4224217435

FWCI: 0.162

Cites: 15

Cited by: 2

Related to: 10