Adaptive Optimization Algorithm for Resetting Techniques in Obstacle-Ridden Environments-Reference-Cited by-同舟云学术

Adaptive Optimization Algorithm for Resetting Techniques in Obstacle-Ridden Environments

Published:2023-04-01 Issue:4 Volume:29 Page:2080-2092
ISSN:1077-2626
Container-title:IEEE Transactions on Visualization and Computer Graphics
language:
Short-container-title:IEEE Trans. Visual. Comput. Graphics

Author:

Zhang Song-Hai¹^ORCID,Chen Chia-Hao²,Zheng Fu²,Yang Yong-Liang³^ORCID,Hu Shi-Min¹^ORCID

Affiliation:

1. Department of Computer Science and Technology, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China

2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

3. Department of Computer Science, University of Bath, Bath, U.K.

Funder

National Key Technology R&D Program

National Natural Science Foundation of China

Research Grant of Beijing Higher Institution Engineering Research Center

Tsinghua–Tencent Joint Laboratory for Internet Innovation Technology

Research Councils UK

Adobe

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

http://xplorestaging.ieee.org/ielx7/2945/10054568/09669131.pdf?arnumber=9669131

Reference35 articles.

1. Experiencing an Invisible World War I Battlefield Through Narrative-Driven Redirected Walking in Virtual Reality

2. Crowd-driven mid-scale layout design

3. Velocity-Dependent Dynamic Curvature Gain for Redirected Walking

4. Simulator Sickness Questionnaire: An Enhanced Method for Quantifying Simulator Sickness

5. Space walk

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