Bilaketaren emaitzak - multi-camera multi-objects making
Proposatutako topikoa bilaketarako iradokizunak
Proposatutako topikoa bilaketarako iradokizunak
- deep learning 9
- machine learning 6
- n/a 6
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 6
- CNN 5
- convolutional neural network 5
- path planning 5
- semantic segmentation 5
- sensor fusion 5
- transfer learning 5
- UAV 4
- convolutional neural network (CNN) 4
- convolutional neural networks 4
- localization 4
- remote sensing 4
- unmanned aerial vehicle 4
- GPU 3
- LiDAR 3
- autonomous 3
- classification 3
- data association 3
- decision-making 3
- drone 3
- image fusion 3
- indoor positioning 3
- lidar 3
- multispectral imagery 3
- orthomosaic 3
- particle swarm optimization 3
- photogrammetry 3
Iradokizunak:
- multi-objects »
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Chapter Predictive Safety Monitoring for Lifting Operations with Vision-Based Crane-Worker Conflict Prediction
Argitaratua 2024“...In particular, crane lifting is a notably hazardous operation on construction sites, causing fatal accidents like workers being struck by the boom or objects fallen from tower cranes. Manual monitoring by on-site safety officers is labour-intensive and error-prone, while incorporating computer vision techniques into surveillance cameras would enable more automatic and continuous monitoring of construction site operations. ...”
Testu osoa
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Learning to Understand Remote Sensing Images
Argitaratua 2021Gaiak: “...multi-objective...”
Testu osoa
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Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Argitaratua 2021Gaiak: “...multi-sensor...”
Testu osoa
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Multi-Sensor Information Fusion
Argitaratua 2021Gaiak: “...multi-environments...”
Testu osoa
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Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities
Argitaratua 2021Gaiak: “...Wi-Fi camera...”
Testu osoa
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UAV Photogrammetry and Remote Sensing
Argitaratua 2022“...In addition, photogrammetric data processing has been improved thanks to the combination of new algorithms, e.g., structure from motion (SfM), which solves the collinearity equations without the need for any control point, producing a cloud of points referenced to an arbitrary coordinate system and a full camera calibration, and the multi-view stereopsis (MVS) algorithm, which applies an expanding procedure of sparse set of matched keypoints in order to obtain a dense point cloud. ...”
Testu osoa
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Wildlife Protection and Habitat Management
Argitaratua 2022Gaiak: “...multi-objective ranking...”
Testu osoa
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Feature Papers of Drones Vol. 1
Argitaratua 2023Gaiak: “...multi-objective optimisation...”
Testu osoa
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Feature Papers of Drones Vol. 2
Argitaratua 2023Gaiak: “...multi-objective optimisation...”
Testu osoa
Online