Location estimation of autonomous driving robot and 3D tunnel mapping in underground mines using pattern matched LiDAR sequential images-Reference-Cited by-同舟云学术

Location estimation of autonomous driving robot and 3D tunnel mapping in underground mines using pattern matched LiDAR sequential images

Published:2021-09 Issue:5 Volume:31 Page:779-788
ISSN:2095-2686
Container-title:International Journal of Mining Science and Technology
language:en
Short-container-title:International Journal of Mining Science and Technology

Author:

Kim Heonmoo,Choi Yosoon^ORCID

Funder

Ministry of Science and ICT, South Korea

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Geochemistry and Petrology,Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology

Reference39 articles.

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3. General Motors. 2018 Self-driving safety report. https://www.gm.com/content/dam/company/docs/us/en/gmcom/gmsafetyreport.pdf; 2018.

4. Ford. Ford’s approach to developing Self-driving vehicles. https://media.ford.com/content/dam/fordmedia/pdf/Ford_AV_LLC_FINAL_HR_2.pdf; 2018.

5. NVIDIA. Self-driving safety report. https://www.nvidia.com/content/dam/en-zz/Solutions/self-driving-cars/safety-report/NVIDIA-Self-Driving-Safety-Report-2018.pdf; 2018.

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