Augmented Reality-Based Navigation Using Deep Learning-Based Pedestrian and Personal Mobility User Recognition—A Comparative Evaluation for Driving Assistance-Reference-Cited by-同舟云学术

Augmented Reality-Based Navigation Using Deep Learning-Based Pedestrian and Personal Mobility User Recognition—A Comparative Evaluation for Driving Assistance

Published:2023 Issue: Volume:11 Page:62200-62211
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Roh Dong Hyeon¹^ORCID,Lee Jae Yeol²^ORCID

Affiliation:

1. Korea Automotive Technology Institute, Dongnam-gu, Cheonan-si, South Korea

2. Department of Industrial Engineering, Chonnam National University, Buk-gu, Gwangju, South Korea

Funder

National Research Foundation of Korea

Korean Government [Ministry of Science and ICT (MSIT)]

Basic Science Research Program through NRF

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10154473.pdf?arnumber=10154473

Reference33 articles.

1. Fostering User Acceptance and Trust in Fully Automated Vehicles: Evaluating the Potential of Augmented Reality

2. Increasing trust in fully automated driving

3. Employing Emerging Technologies to Develop and Evaluate In-Vehicle Intelligent Systems for Driver Support: Infotainment AR HUD Case Study

4. Importance-Aware Semantic Segmentation for Autonomous Vehicles

5. Feature Pyramid Networks for Object Detection

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