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2025 Vol.62, Issue 6 Preview Page

Review

31 December 2025. pp. 686-702
Abstract
References
1

Azizi, M. and Tarshizi, E., 2016. Autonomous Control and Navigation of a Lab-Scale Underground Mining Haul Truck Using LiDAR Sensor and Triangulation – Feasibility Study, 2016 IEEE Industry Applications Society Annual Meeting, IEEE, Portland, OR, USA, p.1-6.

10.1109/IAS.2016.7731923
2

Benlaajili, S., Moutaouakkil, F., and Chebak, A., 2021. Infrastructural requirements for the implementation of autonomous trucks in open-pit mines, VIth International Innovative Mining Symposium, E3S Web Conf., 03009.

10.1051/e3sconf/202131503009
7

Epiroc, 2025.10.16., www.miningandconstruction.com

8

Flywheel International, 2016.9.8., https://www.youtube.com/watch?v=RdsFvgP67jw

10

Guo, L., Guo, Y., Liu, J., Zhang, Y., Song, Z., Zhang, X., and Liu, H., 2025. A Semi-Supervised Domain Adaptation Method for Sim2Real Object Detection in Autonomous Mining Trucks, Sensors, 25(5), 1425.

10.3390/s2505142540096230PMC11902820
11

Hamada, T. and Saito, S., 2018, Autonomous Haulage System for Mining Rationalization, Hitachi Review, 67(1), p.86-87.

12

Hitachi Construction Machinery Channel, 2015.2.19., https://www.youtube.com/watch?v=c9_Os6Ha-Gk&t=136s

15

Ishimoto, H. and Hamada, T., 2020. Safety Concept and Architecture for Autonomous Haulage System in Mining, 37th International Symposium on Automation and Robotics in Construction (ISARC 2020), IAARC, Kitakyushu, Japan, p.377-384.

10.22260/ISARC2020/0054
16

Kim, M.K. and Kim, M.S., 2025. Improving Safety-Management Systems for Reducing Industrial Accidents in Mining Sector, Journal of The Korean Society of Mineral and Energy Resources Engineers, 62(3), p.256-265.

10.32390/ksmer.2025.62.3.256
17

Kim, S.H. and Lee, H.G., 2018. Implementation of Pattern Recognition Algorithm Using Line Scan Camera for Recognition of Path and Location of AGV, Journal of the Korea Industrial Information Systems Research, 23(1), p.13-21.

18

Lei, M., Peng, P., Wang, L., Liu, Y., Lei, R., Zhang, C., Zhang, Y., and Liu, Y., 2025. Collision Detection Algorithms for Autonomous Loading Operations of LHD-Truck Systems in Unstructured Underground Mining Environments, Mathematics, 13(15), 2359.

10.3390/math13152359
19

Li, H., Chen, P., Yu, G., Zhou, B., Han, Z., and Liao, Y., 2024. Collaborative Trajectory Planning for Autonomous Mining Trucks: A Grouping and Prioritized Optimization Based Approach, IEEE Transactions on Vehicular Technology, 73(5), p.6283-6300.

10.1109/TVT.2023.3343703
20

Li, H., Wang, Z., Yu, G., Gong, Z., Zhou, B., Chen, P., and Zhao, F., 2022. 3DSG: A 3D LiDAR-Based Object Detection Method for Autonomous Mining Trucks Fusing Semantic and Geometric Features, Applied Sciences, 12(23), 12444.

10.3390/app122312444
25

Liu, G., Lei, J., Guo, Z., Chai, S., and Ren, C., 2025. Lightweight obstacle detection for unmanned mining trucks in open-pit mines, Scientific Reports, 15(1), 9028.

10.1038/s41598-025-93639-540090931PMC11911416
26

Long, M., Schafrik, S., Kolapo, P., Agioutantis, Z., and Sottille, J., 2024. Equipment and Operations Automation in Mining: A Review, Machines, 12(10), p.713.

10.3390/machines12100713
27

Matsui, K., Escribano, J., and Angeloudis, P., 2023. Real-time Dispatching for Autonomous Vehicles in Open-pit Mining Deployments using Deep Reinforcement Learning, Proceedings of the 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), IEEE, Bilbao, Bizkaia, Spain, p.5468-5475.

10.1109/ITSC57777.2023.10422131
29

Onliner, 2018.10.31., https://auto.onliner.by/2018/10/31/belaz-21

10.12968/S2514-9768(23)90259-0
30

Ruan, S., Li, S., Lu, C., and Gu, Q., 2022. A Real-Time Negative Obstacle Detection Method for Autonomous Trucks in Open-Pit Mines, Sustainability, 15(1), 120.

10.3390/su15010120
35
38

Tang, J., Lu, X., Ai, Y., Tian, B., and Chen, L., 2019. Road Detection for Autonomous Truck in Mine Environment, 2019 IEEE Intelligent Transportation Systems Conference (ITSC), IEEE, Auckland, New Zealand, p.839-845.

10.1109/ITSC.2019.8917022
40

Tian, F., Zhou, R., Li, Z., Li, L., Gao, Y., Cao, D., and Chen, L., 2021. Trajectory Planning for Autonomous Mining Trucks Considering Terrain Constraints, IEEE Transactions on Intelligent Vehicles, 6(4), p.772-786.

10.1109/TIV.2021.3065867
47

Yang, Q., Ai, Y., Teng, S., Gao, Y., Cui, C., Tian, B., and Chen, L., 2023. Decoupled Real-Time Trajectory Planning for Multiple Autonomous Mining Trucks in Unloading Areas, IEEE Transactions on Intelligent Vehicles, 8(10), p.4319-4330.

10.1109/TIV.2023.3312813
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Information
  • Publisher :The Korean Society of Mineral and Energy Resources Engineers
  • Publisher(Ko) :한국자원공학회
  • Journal Title :Journal of the Korean Society of Mineral and Energy Resources Engineers
  • Journal Title(Ko) :한국자원공학회지
  • Volume : 62
  • No :6
  • Pages :686-702
  • Received Date : 2025-10-27
  • Revised Date : 2025-11-13
  • Accepted Date : 2025-11-17