Laser & Optoelectronics Progress, Volume. 61, Issue 8, 0812006(2024)
Small-Scale Rockfall Detection Method Based on Solid-State Lidar for Unstructured Transportation Roads in Open-Pit Mines
[1] Chen Z F, Yu G Z, Zhang C Y et al. Simulation study on risk assessment and prevention and control strategy of unmanned driving in open-pit mining area[J]. Journal of China Coal Society, 48, 1782-1797(2023).
[2] Wang Z X, Xin F Y, Chen H L et al. Current status and development trend of intelligent transportation technology in China’s open-pit mines[J]. Industry and Mine Automation, 48, 15-26(2022).
[4] Zamanakos G, Tsochatzidis L, Amanatiadis A et al. A comprehensive survey of LIDAR-based 3D object detection methods with deep learning for autonomous driving[J]. Computers & Graphics, 99, 153-181(2021).
[5] Lang A H, Vora S, Caesar H et al. PointPillars: fast encoders for object detection from point clouds[C], 12689-12697(2020).
[6] Zheng W, Tang W L, Chen S J et al. CIA-SSD: confident IoU-aware single-stage object detector from point cloud[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 35, 3555-3562(2021).
[7] Zheng W, Tang W L, Jiang L et al. SE-SSD: self-ensembling single-stage object detector from point cloud[C], 14489-14498(2021).
[8] Bushra A A, Yi G M. Comparative analysis review of pioneering DBSCAN and successive density-based clustering algorithms[J]. IEEE Access, 9, 87918-87935(2021).
[9] Bushra A A, Yi G M. Comparative analysis review of pioneering DBSCAN and successive density-based clustering algorithms[J]. IEEE Access, 9, 87918-87935(2021).
[10] Chen Y W, Zhou L D, Bouguila N et al. BLOCK-DBSCAN: fast clustering for large scale data[J]. Pattern Recognition, 109, 107624(2021).
[11] Starczewski A, Goetzen P, Er M J. A new method for automatic determining of the DBSCAN parameters[J]. Journal of Artificial Intelligence and Soft Computing Research, 10, 209-221(2020).
[12] Shi T D, Zhong D Y, Bi L. A new challenge: detection of small-scale falling rocks on transportation roads in open-pit mines[J]. Sensors, 21, 3548(2021).
[13] Han Y, Yuan J, Si J S et al. Real-time detection of small obstacles based on 16-ray lidar point cloud[J]. Laser & Optoelectronics Progress, 58, 1228001(2021).
[14] Himmelsbach M, Hundelshausen F V, Wuensche H J. Fast segmentation of 3D point clouds for ground vehicles[C], 560-565(2010).
[15] Chu P, Cho S, Sim S et al. A fast ground segmentation method for 3D point cloud[J]. Journal of Information Processing Systems, 13, 491-499(2017).
[16] Sualeh M, Kim G W. Dynamic multi-LiDAR based multiple object detection and tracking[J]. Sensors, 19, 1474(2019).
[17] Gan J H, Tao Y F. DBSCAN revisited: mis-claim, un-fixability, and approximation[C], 519-530(2015).
[18] Zhang C Y, Han L. Obstacle detection of LiDAR based on optimized DBSCAN[J]. Laser & Optoelectronics Progress, 59, 1228008(2022).
[19] Hu J, Liu H, Xu W C et al. Position detection algorithm of road obstacles based on 3D LiDAR[J]. Chinese Journal of Lasers, 48, 2410001(2021).
[20] Li L G, Guo Y J, Li L et al. Target detection of shipborne lidar based on variable size grid map[J]. Laser & Optoelectronics Progress, 59, 0828002(2022).
Get Citation
Copy Citation Text
Qinghua Gu, Jiawei Li, Lu Chen, Hejie Zhu. Small-Scale Rockfall Detection Method Based on Solid-State Lidar for Unstructured Transportation Roads in Open-Pit Mines[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0812006
Category: Instrumentation, Measurement and Metrology
Received: Mar. 2, 2023
Accepted: Apr. 12, 2023
Published Online: Apr. 16, 2024
The Author Email: Li Jiawei (1205854732@qq.com)