A Virtual Reality Mining Training Simulator for Proximity Detection

Author:

Marsh Erik,Dahl Joshua,Kamran Pishhesari Alireza,Sattarvand Javad,Harris Frederick C.

Publisher

Springer International Publishing

Reference18 articles.

1. B. Lucchesi, N. Oberlander, F.C. Harris, P. Mousset-Jones, Surface mine truck safety training: Scenario setup for a VR driving simulator, in Proceedings of the 12th International Conference on Computer Applications in Industry and Engineering (CAINE ’99 (1999), pp. 62–65

2. K. Andersen, S.J. Gaab, J. Sattarvand, F.C. Harris, METS VR: Mining evacuation training simulator in virtual reality for underground mines, in 17th International Conference on Information Technology- New Generations (ITNG 2020), ed. by S. Latifi (Springer International Publishing, 2020), pp. 325–332, ISBN: 978-3-030-43020-7. https://doi.org/10.1007/978-3-030-43020-743

3. O. Golovina, C. Kazanci, J. Teizer, M. König, Using serious games in virtual reality for automated close call and contact collision analysis in construction safety, in Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC), M. Al-Hussein, Ed., Banff, Canada: International Association for Automation and Robotics in Construction (IAARC), May (2019), pp. 967–974, ISBN: 978-952-69524-0-6. https://doi.org/10.22260/ISARC2019/0129

4. R.P. McMahan, S. Schafrik, D.A. Bowman, M. Karmis, Virtual environments for surface mining powered haulage training, in Extracting the Science: A Century of Mining Research, ed. by J.F. Brune (2010), pp. 520–528

5. A. Asvadi, C. Premebida, P. Peixoto, U. Nunes, 3D lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes. Robot. Autonomous Syst. 83, 299–311 (2016). ISSN: 0921-8890. https://doi.org/10.1016/j.robot.2016.06.007

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3