{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T21:49:38Z","timestamp":1777326578665,"version":"3.51.4"},"reference-count":36,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2021,6,25]],"date-time":"2021-06-25T00:00:00Z","timestamp":1624579200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Electric shovels have been widely used in heavy industrial applications, such as mineral extraction. However, the performance of the electric shovel is often affected by the complicated working environment and the proficiency of the operator, which will affect safety and efficiency. To improve the extraction performance, it is particularly important to study an intelligent electric shovel with autonomous operation technology. An electric shovel experimental platform for intelligent technology research and testing is proposed in this paper. The core of the designed platform is an intelligent environmental sensing\/perception system, in which multiple sensors, such as RTK (real-time kinematic), IMU (inertial measurement unit) and LiDAR (light detection and ranging), have been employed. By appreciating the multi-directional loading characteristics of electric shovels, two 2D-LiDARs have been used and their data are synchronized and fused to construct a 3D point cloud. The synchronization is achieved with the assistance of RTK and IMU, which provide pose information of the shovel. In addition, in order to down-sample the LiDAR point clouds to facilitate more efficient data analysis, a new point cloud data processing algorithm including a bilateral-filtering based noise filter and a grid-based data compression method is proposed. The designed platform, together with its sensing system, was tested in different outdoor environment conditions. Compared with the original LiDAR point cloud, the proposed new environment sensing\/perception system not only guarantees the characteristic points and effective edges of the measured objects, but also reduces the amount of processing point cloud data and improves system efficiency. By undertaking a large number of experiments, the overall measurement error of the proposed system is within 50 mm, which is well beyond the requirements of electric shovel application. The environment perception system for the automatic electric shovel platform has great research value and engineering significance for the improvement of the service problem of the electric shovel.<\/jats:p>","DOI":"10.3390\/s21134355","type":"journal-article","created":{"date-parts":[[2021,6,25]],"date-time":"2021-06-25T11:07:40Z","timestamp":1624619260000},"page":"4355","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["A Multi-Sensor Environmental Perception System for an Automatic Electric Shovel Platform"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2071-177X","authenticated-orcid":false,"given":"Xudong","family":"Li","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China"},{"name":"Key Laboratory for Micro\/Nano Technology and System of Liaoning Province, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5975-5828","authenticated-orcid":false,"given":"Chong","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory for Micro\/Nano Technology and System of Liaoning Province, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China"},{"name":"Key Laboratory for Digital Design and Intelligent Equipment Technology of Liaoning Province, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China"},{"name":"Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China"}]},{"given":"Jingmin","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory for Micro\/Nano Technology and System of Liaoning Province, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China"},{"name":"Key Laboratory for Digital Design and Intelligent Equipment Technology of Liaoning Province, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China"},{"name":"Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China"}]},{"given":"Mehdi","family":"Baghdadi","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9306-297X","authenticated-orcid":false,"given":"Yuanchang","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, UK"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,25]]},"reference":[{"key":"ref_1","unstructured":"William, H., and Mark, K. (2013). Open Pit Mine Planning and Design, Taylor & Francis."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/s10706-010-9366-9","article-title":"Efficient cable shovel excavation in surface mines","volume":"29","author":"Frimpong","year":"2011","journal-title":"Geotech. Geol. Eng."},{"key":"ref_3","unstructured":"Orlemann, E. (2003). Power Shovels: The World\u2019s Mightiest Mining and Construction Excavators, MBI."},{"key":"ref_4","first-page":"151","article-title":"Performance monitoring of electric mining shovels","volume":"98","author":"Hendricks","year":"1989","journal-title":"Trans. Inst. Min. Met. Sect. A"},{"key":"ref_5","first-page":"276","article-title":"Performance monitoring of electric cable shovels","volume":"19","author":"Patnayak","year":"2005","journal-title":"Int. J. Surf. Min."},{"key":"ref_6","unstructured":"Guilherme, J.M., David, C.R., and Surya, P.N.S. (2014). Iterative Autonomous Excavation, Springer."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/rob.20132","article-title":"Autonomous Excavation Using a Rope Shovel","volume":"23","author":"Dunbabin","year":"2006","journal-title":"J. Field Robot."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1023\/A:1008914201877","article-title":"A Robotic Excavator for Autonomous Truck Loading","volume":"7","author":"Anthony","year":"1999","journal-title":"Auton. Robot."},{"key":"ref_9","unstructured":"Singh, S., and Cannon, H. (1998, January 16\u201320). Multi-Resolution Planning for Earthmoving. Proceedings of the International Conference on Robotics and Automation, Leuven, Belgium."},{"key":"ref_10","unstructured":"Rowe, P.S. (1999). Adaptive Motion Planning for Autonomous Mass Excavation, Carnegie Mellon University."},{"key":"ref_11","unstructured":"Hiroshi, Y., and Masaharu, M. (2010, January 21\u201322). Development of the Autonomous Hydraulic Excavator Prototype Using 3-D Information for Motion Planning and Control. Proceedings of the 2010 IEEE.SICE International Symposium on System integration, (Oral session), Sendai, Miyagi, Japan."},{"key":"ref_12","unstructured":"Wardeh, M., and Frimpong, S. (2016). Virtual Prototyping and Simulation of P&H Electric Rope Shovel-4800 XPC, Research Gate."},{"key":"ref_13","unstructured":"Gu, Y.M. (2010). Research on Image Processing Technology in Intelligent Excavator Vision System, Northeastern University."},{"key":"ref_14","unstructured":"Xie, K. (2016). Development of Intelligent Operation Test System for Excavator Based on Environmental Recognition Platform, Zhejiang University."},{"key":"ref_15","first-page":"1","article-title":"Sand-dust Image Restoration Based on Reversing the Blue Channel Prior","volume":"12","author":"Gao","year":"2020","journal-title":"IEEE Photonics J."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"116722","DOI":"10.1109\/ACCESS.2019.2936444","article-title":"Let You See in Sand Dust Weather: A Method Based on Halo-Reduced Dark Channel Prior Dehazing for Sand-Dust Image Enhancement","volume":"7","author":"Shi","year":"2019","journal-title":"IEEE Access"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"196690","DOI":"10.1109\/ACCESS.2020.3034151","article-title":"A Fast Sand-Dust Image Enhancement Algorithm by Blue Channel Compensation and Guided Image Filtering","volume":"8","author":"Cheng","year":"2020","journal-title":"IEEE Access"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Wang, J., Pang, Y., He, Y., and Liu, C. (2016). Enhancement for Dust-Sand Storm Images. International Conference on Multimedia Modeling, Springer.","DOI":"10.1007\/978-3-319-27671-7_70"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1016\/j.mechmachtheory.2006.07.008","article-title":"Cable shovel digging optimization for energy efficiency","volume":"42","author":"Kwame","year":"2007","journal-title":"Mech. Mach. Theory"},{"key":"ref_20","unstructured":"Thomas, P. (2010). Navigation Signal Processing for GNSS Software Receivers, Artech House."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1002\/rob.20310","article-title":"Performance of laser and radar ranging devices in adverse environmental conditions","volume":"26","author":"Ryde","year":"2009","journal-title":"J. Field Robot."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1007\/s12205-016-0309-8","article-title":"Development of a 3D local terrain modeling system of intelligent excavation robot","volume":"21","author":"Yoo","year":"2017","journal-title":"KSCE J. Civil. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"065002","DOI":"10.1088\/1361-6501\/ab6ecd","article-title":"A measurement system based on internal cooperation of cameras in binocular vision","volume":"31","author":"Zhou","year":"2020","journal-title":"Meas. Sci. Technol."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Li, R.B., Liu, J.Y., and Zhang, L. (2014). LIDAR\/MEMS IMU integrated navigation (SLAM) method for a small UAV in indoor environments. Inert. Sens. Syst., 1\u201315.","DOI":"10.1109\/InertialSensors.2014.7049479"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1279","DOI":"10.1109\/TVT.2015.2397004","article-title":"Integrated indoor navigation system for ground vehicles with automatic 3-D alignment and position initialization","volume":"64","author":"Atia","year":"2015","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Chang, L., Niu, X., and Liu, T. (2019). GNSS\/INS\/LiDAR-SLAM Integrated Navigation System Based on Graph Optimization. Remote Sens., 11.","DOI":"10.3390\/rs11091009"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1111\/1467-8659.00334","article-title":"Improved Laplacian smoothing of noisy furface meshes","volume":"18","author":"Vollmer","year":"1999","journal-title":"Comput. Graph. Forum"},{"key":"ref_28","unstructured":"Taubin, G. (, January September). A signal processing approach to fair surface design. Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques, New York, NY, USA."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Desbrun, M., and Meyer, M. (1999, January 8\u201313). Implicit fairing of irregular mesher using diffusion and curvature flow. Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques, Los Angeles, CA, USA.","DOI":"10.1145\/311535.311576"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1145\/1073204.1073227","article-title":"Robust moving least-squares fitting with sharp features","volume":"24","author":"Fleishman","year":"2005","journal-title":"ACM Trans. Graph."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"950","DOI":"10.1145\/882262.882368","article-title":"Bilateral mesh denoising","volume":"22","author":"Fleishman","year":"2003","journal-title":"ACM Trans. Graph."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.cad.2018.04.010","article-title":"Point cloud resampling using centroidal Voronoi tessellation methods","volume":"102","author":"Chen","year":"2018","journal-title":"Comput.-Aided Des."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Liu, B.L., Zhang, F.M., Qu, X.H., and Shi, X.J. (2016). A Rapid Coordinate Transformation Method Applied in Industrial Robot Calibration Based on Characteristic Line Coincidence. Sensors, 16.","DOI":"10.3390\/s16020239"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2805","DOI":"10.1109\/TMECH.2016.2581808","article-title":"Adaptive Bilateral Smoothing for a Point-Sampled Blade Surface","volume":"21","author":"Li","year":"2016","journal-title":"IEEE\/ASME Trans. Mechatron."},{"key":"ref_35","first-page":"43","article-title":"3D Laser Scanning Point Cloud Filtering Based on Least Squares Fitting","volume":"5","author":"Yan","year":"2013","journal-title":"Bull. Surv. Mapp."},{"key":"ref_36","first-page":"103","article-title":"A review of algorithms for filtering the 3D point cloud Signal Processing","volume":"27","author":"Han","year":"2017","journal-title":"Image Commun."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/13\/4355\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:24:05Z","timestamp":1760163845000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/13\/4355"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,25]]},"references-count":36,"journal-issue":{"issue":"13","published-online":{"date-parts":[[2021,7]]}},"alternative-id":["s21134355"],"URL":"https:\/\/doi.org\/10.3390\/s21134355","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,25]]}}}