Real-Time Onboard Object Detection for Augmented Reality: Enhancing Head-Mounted Display with YOLOv8
Author:
Affiliation:
1. Poznań University of Technology,Centre for Artificial Intelligence and Cybersecurity
2. University of Cambridge,Institute for Manufacturing,Department of Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10234182/10234229/10234302.pdf?arnumber=10234302
Reference46 articles.
1. Real-time Object Detection and Tracking in Mixed Reality using Microsoft HoloLens
2. Adopting the YOLOv4 Architecture for Low-Latency Multispectral Pedestrian Detection in Autonomous Driving
3. Object detection featuring 3D audio localization for Microsoft HoloLens;eckert;Proc 11th Int Joint Conf on Biomedical Eng Sys and Techn,2018
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