By Professor Simit Raval

Preprints

Ranasinghe P; Raval S; Patra D; Banerjee B; Canbulat I, 2026, From 3D Perception to Safety Reasoning: A Graph-Based Framework for Real-Time Underground Mine Monitoring, http://dx.doi.org/10.48550/arxiv.2606.03460

Patra D; Raval S; Ranasinghe P; Banerjee B; Canbulat I, 2026, Towards Integrated Rock Support Visualisation in 3D Point Cloud of Underground Mines, http://dx.doi.org/10.48550/arxiv.2605.20973

Ranasinghe P; Banerjee B; Raval S, 2026, Development and Validation of an Integrated LiDAR-Camera System for Real-Time Monitoring of Underground Longwall Operations, http://dx.doi.org/10.48550/arxiv.2605.02516

Patra D; Ranasinghe P; Banerjee B; Raval S, 2026, Automated Discontinuity Set Characterisation in Enclosed Rock Face Point Clouds Using Single-Shot Filtering and Cyclic Orientation Transformation, http://dx.doi.org/10.48550/arxiv.2602.01783

Ranasinghe P; Patra D; Banerjee BP; Ye C; Nan B; Raval S, 2026, A Scalable Array of Integrated LiDAR-Camera Units for Continuous Colourised 3D Monitoring of Underground Longwall Operations, http://dx.doi.org/10.2139/ssrn.7209040

Ranasinghe P; Raval S; Banerjee BP; Canbulat I, 2026, From Point Sensors to Spatial Hazard Interpretation in Underground Coal Mining: A Critical Review of Longwall Monitoring, Validation and Deployment Readiness, http://dx.doi.org/10.2139/ssrn.7171901

Ranasinghe P; Patra D; Banerjee B; Raval S, 2025, LiDAR Point Cloud Colourisation Using Multi-Camera Fusion and Low-Light Image Enhancement, http://dx.doi.org/10.48550/arxiv.2509.25859

Chauhan A; Raval S, 2025, Satellite-Derived Approaches for Coal Mine Methane Estimation: A Re-view, http://dx.doi.org/10.31223/x5516k

Patra D; Ranasinghe P; Banerjee B; Raval S, 2025, A Deep Learning Approach to Identify Rock Bolts in Complex 3D Point Clouds of Underground Mines Captured Using Mobile Laser Scanners, http://dx.doi.org/10.48550/arxiv.2506.20464

Thiruchittampalam S; Banerjee BP; Glenn NF; Raval S, 2024, Comparative Evaluation of Traditional and Deep Learning-Based Segmentation Methods for Spoil Pile Delineation Using UAV Images, http://dx.doi.org/10.48550/arxiv.2402.00295

Thiruchittampalam S; Banerjee BP; Glenn NF; Raval S, 2024, An Evaluation of Calibrated and Uncalibrated High-Resolution RGB Data in Time Series Analysis for Coal Spoil Characterisation: A Comparative Study, http://dx.doi.org/10.48550/arxiv.2402.00170

Thiruchittampalam S; Shanmugalingam K; Banarjee BP; Glenn NF; Raval S, 2024, A Comparative Study with Traditional and Transfer Learning-enhanced Machine Learning Algorithms for Geotechnical Characterisation of Coal Spoil, http://dx.doi.org/10.48550/arxiv.2401.01969

Thiruchittampalam S; Banerjee BP; Glenn N; Mcquillan A; Raval S, 2024, Granular Characterization of Coal Spoil Dump Using UAV Data to Enhance Stability Analysis, http://dx.doi.org/10.2139/ssrn.4746636

Singh SK; Banerjee BP; Raval S, 2022, A review of laser scanning for geological and geotechnical applications in underground mining, http://dx.doi.org/10.48550/arxiv.2211.11181

Banerjee B; Raval S, 2021, Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR, http://dx.doi.org/10.36227/techrxiv.16912138

Singh SK; Banerjee BP; Raval S, 2021, Three dimensional unique identifier based automated georeferencing and coregistration of point clouds in underground environment, http://dx.doi.org/10.48550/arxiv.2102.10731

Banerjee B; Raval S, A Particle Swarm Optimization based Approach to Pre-tune Programmable Hyperspectral Sensors, http://dx.doi.org/10.36227/techrxiv.14058233.v1

Singh SK; Banerjee BP; Lato M; Sammut C; Raval S, Automated rock mass discontinuity set characterisation using amplitude and phase decomposition, http://dx.doi.org/10.2139/ssrn.3899864

Banerjee B; Raval S, Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR, http://dx.doi.org/10.36227/techrxiv.16912138.v1

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