Based on computer vision (CV) technology, an approach, through a monocular camera and marker, was proposed to estimate the pose parameters (including orientation and position) of …
Get a quoteCiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract — This paper describes a vision-based control system for a tracked mobile robot (an excavator). The system includes several controllers that collaborate to move the mobile vehicle from a starting position to a goal position. First, the path planner designs an optimum path using a predefined …
Get a quote2D and 3D vision-based markerless equipment pose estimation methods are designed. • Stacked hourglass network is the foundation of the proposed technical approach. • Equipment pose estimation datasets are collected and annotated. • The methods are evaluated on the datasets and compared with a sensor-based method.
Get a quoteEstimation of the excavator actual productivity at the construction site using video analysis This paper proposes a vision-based action recognition framework that considers the sequential
Get a quoteBased on computer vision (CV) technology, an approach, through a monocular camera and marker, was proposed to estimate the pose parameters (including orientation and position) of the excavator manipulator. To simulate the pose estimation process, a measurement system was established with a common camera and marker.
Get a quoteMay 12, 2021 · To address these problems, it is necessary for construction sites to automatically monitor the poses of excavator manipulators in real time. Based on computer vision (CV) technology, an approach, through a monocular camera and marker, was proposed to estimate the pose parameters (including orientation and position) of the excavator manipulator.
Get a quoteSep 16, 2016 · A neural network-based computer vision system was designed using MathWorks ' MATLAB neural network toolbox and used to estimate the boom, arm, and bucket cylinder displacements of an excavator manipulator during a grading operation simulation. A computer ran the excavator simulation, and a webcam, which was connected to the computer, took
Get a quoteJun 30, 2021 · Based on computer vision (CV) technology, an approach, through a monocular camera and marker, was proposed to estimate the pose parameters (including orientation and position) of the excavator
Get a quoteThe final skeleton of the excavator is derived by connecting the start and end points of the parts to their adjacent parts knowing the kinematic information of the excavator. Estimating the skeleton of the excavator from each camera view on one hand, and knowing the extrinsic and intrinsic parameters of all available cameras on the construction
Get a quoteIn this paper, a novel method to estimate the pose of a hydraulic manipulator using a vision-based neural network system is presented. A webcam is used to capture images of a moving manipulator, and the captured images are used to train a neural network. Then, the trained neural network can be used to estimate the pose of the excavator
Get a quoteXu, J. and Yoon, H.-S., 2018, "Vision-Based Estimation of Excavator Manipulator Position for Automated Grading Control," Submitted to Automation in Construction.
Get a quoteVision-based pose estimation, in which optical cameras monitor fiducial markers to determine their three dimensional relative pose (i.e., position and orientation), offers a promising low cost alternative to currently available sensor packages that are non-ubiquitous and cost prohibitive.
Get a quoteDOI: 10.22260/ISARC2015/0029 Corpus ID: 14162419. Vision-based articulated machine pose estimation for excavation monitoring and guidance @inproceedings{Feng2015VisionbasedAM, title={Vision-based articulated machine pose estimation for excavation monitoring and guidance}, author={Chen Feng and Suyang Dong and K. Lundeen and Yong Xiao and V. Kamat}, …
Get a quoteVision-based Excavator Activity Analysis and Safety Monitoring System Submission ID Real-time Volume Estimation of Mass in Excavator Bucket with LiDAR Data Submission ID 112 Haodong Ding Room D2 View paper. Extension of an Autopilot Model of Shield Tunneling Machines to Curved Section using Machine Learning
Get a quoteVision-based estimation and control of excavator manipulator Energy flow analysis tool development for conventional and hybrid electric vehicles Time-to-failure determination for automotive system components using machine learning
Get a quoteannotated 3D excavator pose, which are cumbersome to collect from real excavators. These drawbacks limit the practicality of such methods in actual construction applications. Therefore, we propose an optimization-based algorithm capable of estimating 3D excavator poses using monocular camera images with no dependency on annotated 3D training data.
Get a quoteall other vision-based methods, especially for human pose estimation. Therefore, in this study, a CNN based marker-less pose estimation system is presented, which can distinguish excavator joint components and estimate their poses in images. This system is built on a state-of-the-art human pose estimation network [26,27] and
Get a quoteexcavator that contains all of the subsystems necessary for this task. In particular, path planning, path tracking control, excavator track control, and visual motion tracking were selected as necessary building blocks. To make the overall Vision …
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Get a quoteVision-based estimation and control of excavator manipulator Energy flow analysis tool development for conventional and hybrid electric vehicles Time-to-failure determination for automotive system components using machine learning
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