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Found 7 papers, 0 papers with code
Automatic Impact-sounding Acoustic Inspection of Concrete Structure
Impact sounding signal has been shown to contain information about structural integrity flaws and subsurface objects from previous research.
Robotic Inspection of Underground Utilities for Construction Survey Using a Ground Penetrating Radar
Ground Penetrating Radar (GPR) is a very useful non-destructive evaluation (NDE) device for locating and mapping underground assets prior to digging and trenching efforts in construction.
Towards 3D Metric GPR Imaging Based on DNN Noise Removal and Dielectric Estimation
Ground Penetrating Radar (GPR) is one of the most important non-destructive evaluation (NDE) devices to detect subsurface objects (i. e., rebars, utility pipes) and reveal the underground scene.
GPR-based Model Reconstruction System for Underground Utilities Using GPRNet
In this paper, both the quantitative and qualitative experiment results verify our method that can generate a dense and complete point cloud model of pipe-shaped utilities based on a sparse input, i. e., GPR raw data incompleteness and various noise.
GPR-based Subsurface Object Detection and Reconstruction Using Random Motion and DepthNet
This system is composed of three modules: 1) visual inertial fusion (VIF) module to generate the pose information of GPR device, 2) deep neural network module (i. e., DepthNet) which detects B-scan of GPR image, extracts hyperbola features to remove the noise in B-scan data and predicts dielectric to determine the depth of the objects, 3) 3D GPR migration module which synchronizes the pose information with GPR scan data processed by DepthNet to reconstruct and visualize the 3D underground targets.
Weakly Supervised Semantic Segmentation in 3D Graph-Structured Point Clouds of Wild Scenes
The deficiency of 3D segmentation labels is one of the main obstacles to effective point cloud segmentation, especially for scenes in the wild with varieties of different objects.
Ego-Downward and Ambient Video based Person Location Association
To provide a possible solution to this problem, this paper proposes a camera system with both ego-downward and third-static view to perform localization and tracking in a learning approach.
