[go: up one dir, main page]

Chawla, 2021 - Google Patents

Automated Pavement Condition Assessment Using Unmanned Aerial Vehicles (UAVs) and Convolutional Neural Network (CNN)

Chawla, 2021

Document ID
1869914341468799791
Author
Chawla V
Publication year

External Links

Snippet

Assessing pavement condition is extremely essential in any effort to reduce future economic losses and improve the structural reliability and resilience. Data resulting from pavement condition assessment are used as a record of infrastructure performance and as a major …
Continue reading at search.proquest.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30181—Earth observation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying

Similar Documents

Publication Publication Date Title
US9014415B2 (en) Spatially integrated aerial photography for bridge, structure, and environmental monitoring
Langhammer et al. Detection and mapping of the geomorphic effects of flooding using UAV photogrammetry
US9036861B2 (en) Method and system for remotely inspecting bridges and other structures
Omar et al. Remote sensing of concrete bridge decks using unmanned aerial vehicle infrared thermography
Chen et al. Small-format aerial photography for highway-bridge monitoring
Eguchi et al. The application of remote sensing technologies for disaster management
Karimzadeh et al. A deep learning model for road damage detection after an earthquake based on synthetic aperture radar (SAR) and field datasets
Zhao et al. Combining ICESat-2 photons and Google Earth Satellite images for building height extraction
Leonardi et al. 3D mapping of pavement distresses using an Unmanned Aerial Vehicle (UAV) system
Ruiz et al. Unmanned aerial vehicles (UAV) as a tool for visual inspection of building facades in AEC+ FM industry
Mirzazade et al. Semi-autonomous inspection for concrete structures using digital models and a hybrid approach based on deep learning and photogrammetry
Zhang et al. Implementing remote-sensing methodologies for construction research: An unoccupied airborne system perspective
Zahs et al. Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data
Karantanellis et al. 3D hazard analysis and object-based characterization of landslide motion mechanism using UAV imagery
Mogawer et al. The application of unmanned aerial systems in surface transportation-Volume II-B: Assessment of Roadway Pavement Condition with UAS
Askarzadeh et al. Drones for road condition monitoring: applications and benefits
Morgenroth et al. Object-based image analysis for mapping earthquake-induced liquefaction ejecta in Christchurch, New Zealand
Lemoine et al. Intercomparison and validation of building damage assessments based on post-Haiti 2010 earthquake imagery using multi-source reference data
Ichi Validating NDE Dataset and Benchmarking Infrared Thermography for Delamination Detection in Bridge Decks
Karantanellis et al. multitemporal landslide mapping and quantification of mass movement in red beach, Santorini Island Using Lidar and UAV platform
Chawla Automated Pavement Condition Assessment Using Unmanned Aerial Vehicles (UAVs) and Convolutional Neural Network (CNN)
Joao Road Construction Assessment Model (RC-AM) to Prevent Contract Overbilling in Angola
Fakhri et al. Application of UAV photogrammetry in obtaining qualitative road pavement information
Ma et al. Detection of Cracks in Ancient Wooden Buildings Based on RPA Oblique Photography Measurement and TLS
Zhao et al. Rockfall mapping and susceptibility evaluation based on UAV high-resolution imagery and support vector machine method