High Performance Computing for Autonomous Planetary Exploration-Reference-Cited by-同舟云学术

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High Performance Computing for Autonomous Planetary Exploration

Published:2021-07 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 8th International Conference on Space Mission Challenges for Information Technology (SMC-IT)
language:
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Author:

Sharif Khaled¹,Ford Jordan²,Whittaker Red³,Wong Uland⁴

Affiliation:

1. KBR, NASA Ames Research Center,Intelligent Robotics Group,Mountain View,CA

2. Carnegie Mellon University,Electrical & Computer Eng.,Pittsburgh,PA

3. Carnegie Mellon University,Robotics Institute,Pittsburgh,PA

4. NASA Ames Research Center,Intelligent Robotics Group,Mountain View,CA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9697402/9697407/09697672.pdf?arnumber=9697672

Reference15 articles.

1. Structure-from-Motion Revisited

2. Pixelwise View Se-lection for Unstructured Multi-View Stereo;schönberger;European Conference on Computer Vision (ECCV),2016

3. The H.264/AVC advanced video coding standard: overview and introduction to the fidelity range extensions

4. High Efficiency Video Coding (HEVC)

5. Sojourner on Mars and Lessons Learned for Future Planetary Rovers

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2. Gamification as a neuroergonomic approach to improving interpersonal situational awareness in cyber defense;Frontiers in Education;2023-06-20

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